Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- At least 3 years of working experience in research or with relevant working experiences;

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- At least 3 years or more working experiences;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Machine Learning systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring;

- Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC);

- Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions);

- Improve efficiency and stability for extremely large scale distributed training jobs;

Qualifications

Minimum Qualifications:

1. Currently pursuing a PhD in Computer Science, engineering quantitative field with a background in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies

2. Familiar with machine learning algorithms and platforms;

3. Have basic understanding of how GPU and/or ASIC works;

4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications

1. GPU based high performance computing, RDMA high performance network (NCCL, ibverbs); Tensorflow, Jax, PyTorch or other deep learning frameworks;

2. Large scale data processing and parallel computing;

3. Experiences in designing and operating large scale systems in cloud computing or machine learning;

4. Experiences in in-depth CUDA programming and performance tuning

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected].

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Job Description:

• Research and develop new technologies for smart building applications and advanced building controls.
• Based on the R&D outcome, design the air-conditioning system using Building Energy Modeling (BEM) and programming languages such as Python to develop new technologies and install them in real buildings.
• Use digital technology, such as data science and machine learning tools, and evaluate the application effectiveness and drive improvements.
• Lead the development of new technology related to smart buildings and advanced building controls and manage the entire R&D project, from scope definition to budget and risk management etc.
• As R&D project leader, provide design and commissioning consulting to customers for the application of newly developed HVAC systems to buildings.
• Conduct a survey and analyze the collected data along with BEM-based building controls to develop a new building environment focused on occupant comfort and behavior, guided by well-being research.

Job Requirements:

• Master’s degree or equivalent related to Architectural Engineering
• Advanced knowledge of building physics, indoor environmental quality, HVAC system, control theory, and human behavior
• Proficiency in building energy modeling (BEM) such as EnergyPlus and/or TRNSYS
• Proficiency in data science and machine learning with demonstrated skills in programming languages such as R and Python
• Experiences in implementing AI and BEM-based building controls considering individual occupants’ comfort and behavior
• Minimum 10 years experience as a Researcher
• Minimum 5 years experience as a Lead Researcher in research/building projects using BEM
• Good oral and written communication skills in both English and Japanese (native or N1 Japanese language level is required as the role required to collaborate with Japan HQ extensively.)

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- Working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- 3+ years of working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress. With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never . Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (eg, video captioning, VQA, Text-to-video retrieval, and other related topics), large- scale training, RLHF, multimodal generation (eg, text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks .

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (eg, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (eg, TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- At least 3 years of working experience in research or with relevant working experiences;

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- At least 3 years or more working experiences;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Panasonic

Enriching Lives Through

INNOVATION & TECHNOLOGY

Going beyond just providing good products, we at Panasonic are firmly entrenched in the brief of delivering ideas that will provide a profound impact on people’s lives around the world. At the forefront of this endeavor is ensuring that our ideas are allied with the relentless pursuit of reaching new heights of excellence when it comes to pushing the boundaries of innovation. This allows us to focus on enriching the present and enhancing the future for societies throughout the globe.

We invite enthusiastic and dedicated individuals to join us as:

Research Engineer
5G Advanced / 6G Standardization Researcher

Responsibilities:

· Conduct research for 5G-Advanced/6G (3GPP Release 20 and beyond) with focus on Layer 1/Layer 2 technologies, study related technical issues, and work on novel features or relevant techniques to create patents for inclusion into future 5G/6G standards.

· Be part of Panasonic delegation team to attend 3GPP standardization conferences, submit and discuss technical contributions with other meeting delegates.

· Work closely with Panasonic team in monitoring standard development progress and technology trend for exploring future research directions.

· Conduct simulations to support and/or evaluate research work, if applicable.

Requirements:

· Bachelor/Master/PhD degree in Electronics/Electrical/Computer Engineering or related discipline, with wireless communication background.

· Familiarity with cellular communication system such as LTE and/or 5G, and its system architecture, Physical (PHY), and/or Medium Access Control (MAC) layers, will be a plus.

· Strong analytical and problem-solving skills, with the ability to understand complex technical issues and propose effective solutions.

· Passion and deep interest in 5G/6G technologies, with a desire to be at the forefront of research and development in this field.

· Excellent written and verbal communication skills, with the ability to convey technical information clearly and concisely.

· 1 to 5 years of experience

Please send e-mail indicating both the job title and job area, with a complete resume and academic transcripts by 3 November 2024, giving full details of your background, experience, career objectives, current and expected salaries, contact number(s) together with a recent non-returnable photograph to:

PANASONIC R&D CENTER SINGAPORE

202 Bedok South Avenue 1 #02-11 Singapore 469332

E-mail: [email protected]

Website: https://research.sg.panasonic.com/

(We regret that only shortlisted candidates will be notified.)

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Machine Learning systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring;

- Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC);

- Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions);

- Improve efficiency and stability for extremely large scale distributed training jobs;

Qualifications

Minimum Qualifications:

1. Currently pursuing a PhD in Computer Science, engineering quantitative field with a background in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies

2. Familiar with machine learning algorithms and platforms;

3. Have basic understanding of how GPU and/or ASIC works;

4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications

1. GPU based high performance computing, RDMA high performance network (NCCL, ibverbs); Tensorflow, Jax, PyTorch or other deep learning frameworks;

2. Large scale data processing and parallel computing;

3. Experiences in designing and operating large scale systems in cloud computing or machine learning;

4. Experiences in in-depth CUDA programming and performance tuning

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected].

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- At least 3 years or more working experiences;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- Working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- 3+ years of working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The Global Staff Learning Platform Engineer will be responsible for developing and maintaining any code associated with integrations between Learning Platforms including but not limited to the learning management system (LMS), lab platforms, curriculum and lab publishing, and productivity tools. The Staff Learning Platform Engineer will build relationships with stakeholders within Learning & Enablement (L&E) to automate manual processes and ensure the most efficient and effective systems are available to create effective training for our customers. This role will collaborate with cross functional stakeholders and external platform vendors, define business requirements, architect, create, and maintain the code base for any automations, and continuously seek to improve the user experience for any customers using said automations.

The impact you will have:

• Architect, develop, and maintain automation for the business to enable curriculum development and training delivery
• Create API-based solutions to integrate solutions between learning platforms
• Identify and solve manual processes to automate
• Build relationships with the organization and adjacent business units to solve larger problems as a team
• Lead vendor teams handling publishing for content, including localized content

The impact you will have:

• 4-year degree (or equivalent experience) in Computer Science or related field with demonstrated ability
• 5+ years of experience in public cloud technologies (AWS, Google Cloud, or Azure)
• Proven experience in CICD tools (Source Control, Build, Deploy)
• Ability to solve high complexity issues
• Experience communicating updates and resolutions to customers and cross-functional stakeholders
• Ability to take a given problem and complete a solution
• Extensive development experience with JavaScript, CSS, Node.js, Python, and other API technologies
• Experience in API design and creating RESTful API patterns
• Understanding of learning management systems (LMS)
• Deep knowledge of lab platform technologies

Responsibilities:

· Manage design planning and achievement of design/verification reviews

· Deliver TC&IS engineering outputs and ensure compliance with commitments

· Manage interfaces with subsystems and ensure standardization

· Support industrial areas during assembly and commissioning/validation during testing

· Ensure proper management of cybersecurity requirements

· Functionally manage Train Control & IS resources

· Formulate design solutions and maximize reuse of design patterns

· Monitor and control work packages and ensure reporting activities

· Define applicable TCMS configuration with relevant stakeholders

· Contribute to knowledge sharing and technical expertise

· Support stakeholders in understanding cybersecurity processes

· Responsible for transverse cybersecurity actions at project and management levels

Requirements:

• Minimally 5 years of experience in Rolling stock functional engineer experiences on several train functions

• Hands-on electrical and schematic design activity.

• Work package and Team management experiences

• Hands-on experience in design & development of model based control systems using application tools - DCUTerm, Control Build, Matlab / Simulink, Matrix or similar tools.

• Good knowledge of network topologies and interfaces for Serial, Ethernet, MVB and other industrial communication network.

Location: West

Position: Research Engineer (Water Industry/West)(18959)

Job Description

• Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.
• Work with team to ensure all lab equipment calibrations and inspections are up to date
• Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant
• Analysis & update experimental results
• Assist in optimization of operation treatment as well as identifying the area for improvement.
• Technical report preparation
• Work with the team to help generate relevant SOPs (standard operating procedures)
• Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.
• Work with team to source, develop and apply new treatment methods /processes /technologies

Job Requirement

• Bachelor's degree (or above) in Chemistry / Chemical/ environmental/material Engineering or other equivalent
• 1-2 years of relevant work experience, training provided as well.
• Strong communication skills in both oral and written English
• Have enthusiasm for R&D work

Interested applicants please send your resume to Calista (R22104418) with email subject header "Job Application for [Research Engineer (Water Industry/West)(18959)]".

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

EAs will be required to collect the personal data (e.g. NRIC number number for overseas candidates) of applicants referred to employers for permanent or contract job positions of at least six months with a fixed monthly salary of S$3,300 and above.

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Koh Siew Xing

EA Registration No: R22104418

Pasona Singapore Pte. Ltd.

EA License No:90C4069

Job Description

Our client is focusing on R&D activities which are the development of new RO chemical product, water reuse technologies and membrane related products.
They are looking for highly motivated candidates with relevant training and expertise in water treatment process and technology

Roles & Responsibilities
-Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.
-Work with team to ensure all lab equipment calibrations and inspections are up to date
-Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant
-Analysis & update experimental results
-Assist in optimization of operation treatment as well as identifying the area for improvement.
-Technical report preparation
-Work with the team to help generate relevant SOPs (standard operating procedures)
-Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.
-Work with team to source, develop and apply new treatment methods /processes /technologies

Job Requirement

-Bachelor's degree (or above) in Chemistry / Chemical/ environmental/material Engineering or other equivalent;
-1 years of relevant work experience preferred, no experience welcome
-Strong communication skills in both oral and written English
-Have enthusiasm for R&D work
-Self-motivated, able to work independently and with a team to completion of a task

Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.

Kindly indicate in your email subject title as "Job Application for 18959 Research Engineer/Assistant Research Engineer (Water Treatment, West Area) SW228"

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities

Thank you.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About TnS-Live-Algo Team

Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.

Job Description

We are looking for a highly self-motivated research engineer to join our algo team in Singapore. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow

Responsibilities

- Develop computer vision model or multimodality model to recognize violation content in TikTok Livestream

- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)

- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc

- Continuously optimize the training framework to better adapt to the training of large models

Qualifications

1. Major in computer science or a related technical discipline

2. At least 3 years of experience in at least one of the following areas: computer vision, multimodality, LLM

3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)

4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

5. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

Relying on TikTok's global e-commerce scene, the team is committed to optimizing TikTok’s global e-commerce logistics fulfillment services through technologies such as machine learning, deep learning, and operational research optimization. Externally, it provides cheap, fast, high-quality logistics services that meet different needs for global consumers and merchants; internally, it builds an intelligent logistics system to save costs, save time, improve efficiency, and improve stability for the fulfillment of orders.

The intelligent logistics system includes: warehouse location problem, logistics network, wave planning, intelligent order allocation, order fulfilment time forecast, order combination , etc; at the same time, the team will also conduct in-depth exploration in some non-traditional business directions, such as users expect delivery time prediction, cash-on-delivery order risk control, packaging material recommendation, etc. Through the in-depth iteration of traditional business and non-traditional business, build a smart logistics system to achieve the ultimate goal of reducing costs, increasing efficiency, and improving user experience.

We are looking for talented individuals to join us in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Responsible for the developing of deep learning models and related intelligent systems for the supply chain and logistics of international E-Commerce business.

- Participate in the process of optimizing the business results by using some of the following techniques: computer vision, natural language processing, sales prediction, time-series, geo-coding, etc..

- Keep track of cutting-edge technologies in the fields of computer vision, natural language processing and multi-modal machine learning; make use of these technologies to optimize the results in tasks such as fine-grained product style analysis, product similarity analysis and product attribute recognition, etc.

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Have in-depth study in a certain field of natural language processing or computer vision, including but not limited to: image/video classification and recognition, image segmentation, object detection, OCR, graph neural network, text classification, NER, multimodal, unsupervised and self-supervised learning;

- Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details, as well as the training acceleration methods such as mixed precision training and distributed training;

- Familiar with the latest research and technology in model compression acceleration, including but not limited to model quantization, pruning, knowledge distillation, as well as inference frameworks such as TensorRT;

- Have strong practical ability, winners in Kaggle, COCO, ImageNet, NOI/IOI and other competitions are preferred, and those who have papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, ACL, EMNLP, etc.) are preferred as well;

- Familiar with AutoML related algorithms, preferably with experience in automatic search of network structure or hyper parameters;

- Familiar with big data related frameworks and application, those who are familiar with MR or Spark are preferred

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].