Total 11 telecommunication engineer job vacancies in Engineering category in Singapore

Responsibilities:

1.Responsible for research and development of image generation technologies, including the development of foundational models for text-to-image generation, image editing techniques, image enhancement, and multimodal generation of text and images.

2.Keep up with the latest advancements in AIGC algorithms, be responsible for the research and development and engineering implementation of related technologies, and accelerate the adoption and optimization of cutting-edge AIGC technologies in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements:

1.A Master's or Doctoral degree in computer vision, pattern recognition, machine learning, or related fields.

2.Some work experience in computer vision, deep learning, machine learning, computer graphics, etc, familiar with mainstream models and algorithms, and capable of following up and implementing new algorithms.

3.Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

4.Good learning ability, teamwork, and communication skills.

5.Priority will be given to candidates with experience in GAN-related image generation and editing, video editing, style transfer, portrait editing, etc.

6.Priority will be given to candidates with experience in Stable Diffusion, ControlNet, DreamBooth, LoRA, etc.

7.Priority will be given to candidates who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Responsible for research and development of image generation technologies, including the development of foundational models for text-to-image generation, image editing techniques, image enhancement, and multimodal generation of text and images.

2. Keep up with the latest advancements in AIGC algorithms, be responsible for the research and development and engineering implementation of related technologies, and accelerate the adoption and optimization of cutting-edge AIGC technologies in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• A Master's or Doctoral degree in computer vision, pattern recognition, machine learning, or related fields.

• Some work experience in computer vision, deep learning, machine learning, computer graphics, etc, familiar with mainstream models and algorithms, and capable of following up and implementing new algorithms.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Priority will be given to candidates with experience in GAN-related image generation and editing, video editing, style transfer, portrait editing, etc.

• Priority will be given to candidates with experience in Stable Diffusion, ControlNet, DreamBooth, LoRA, etc.

• Priority will be given to candidates who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Design & build the industry-leading recommendation system, promote & verify the performance

of recommendation algorithms.

2. Develop state-of-the-art machine learning models to solve problems

3. Understand product objectives and machine learning techniques, improve model and

recommendation strategy

4. Understand user behaviour and apply Machine Learning algorithms to optimize product

experience and business value.

Requirements

• Master's or doctorate degree in computer science, mathematics or related field.

• Skilled in Python C/C++ or other languages

• Master commonly used recommendation algorithms and machine learning algorithms have the

experience of recommending, advertising, or search algorithms.

• Excellent communication skills and teamwork skills.

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Responsible for research and development of image generation technologies, including the development of foundational models for text-to-image generation, image editing techniques, image enhancement, and multimodal generation of text and images.

2. Keep up with the latest advancements in AIGC algorithms, be responsible for the research and development and engineering implementation of related technologies, and accelerate the adoption and optimization of cutting-edge AIGC technologies in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• A Master's or Doctoral degree in computer vision, pattern recognition, machine learning, or related fields.

• Some work experience in computer vision, deep learning, machine learning, computer graphics, etc, familiar with mainstream models and algorithms, and capable of following up and implementing new algorithms.

• Strong engineering implementation ability, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Priority will be given to candidates with experience in GAN-related image generation and editing, video editing, style transfer, portrait editing, etc.

• Priority will be given to candidates with experience in Stable Diffusion, ControlNet, DreamBooth, LoRA, etc.

• Priority will be given to candidates who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Responsible for tracking and developing cutting-edge technologies in one or more areas of speech recognition, voice conversion, or speech synthesis.

2. Provide algorithmic solutions based on business needs, offer solutions to problems encountered in the business, and ensure the smooth delivery of solutions.

3. Continuously improve the effectiveness of speech recognition, voice conversion, or speech synthesis based on the latest academic and industrial achievements.

Requirements

• Master's degree or above in voice, signal processing, computer science, or related fields.

• Strong engineering implementation ability, familiar with voice processing tools and libraries, proficient in at least one deep learning framework (such as TensorFlow, PyTorch, etc.).

• Clear logical thinking, good analytical and communication skills, capable of independently optimizing technical points.

• Priority will be given to candidates who have published papers in internationally renowned AI conferences or have won awards in ACM competitions.

Responsibilities

1. Design & build the industry-leading recommendation system, promote & verify the performance

of recommendation algorithms.

2. Develop state-of-the-art machine learning models to solve problems

3. Understand product objectives and machine learning techniques, improve model and

recommendation strategy

4. Understand user behaviour and apply Machine Learning algorithms to optimize product

experience and business value.

Requirements

• Master's or doctorate degree in computer science, mathematics or related field.

• Skilled in Python C/C++ or other languages

• Master commonly used recommendation algorithms and machine learning algorithms have the

experience of recommending, advertising, or search algorithms.

• Excellent communication skills and teamwork skills.

Responsibilities

1. Responsible for the research and development of speech signal processing and recognition

technologies related to Bigo's business.

2. In charge of the cutting-edge technologies and algorithmic performance in speech recognition,

pursuing and exploring the most advanced algorithms in the industry.

3. Implement the engineering landing of speech direction algorithm models and develop business

logic in conjunction with Bigo's communication, live broadcasting, and short video scenarios.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Pattern Recognition,

Mathematics, or related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework

(such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Familiar with speech recognition algorithms and has practical experience in the implementation

and business effect optimization of speech recognition systems.

• Priority will be given to candidates with experience in industrial-level large-scale data processing

and model tuning.

• Candidates with experience in small language speech recognition are preferred.

• Priority will be given to those who have published papers in internationally renowned AI

conferences or have won awards in ACM competitions.

Responsibilities

1. Responsible for the technical research of large language models related to Bigo's business scenarios including but not limited to pre-training, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).

2. Implement large model landing in conjunction with the business scenarios, including data construction, large model evaluation, prompt design, and AI agent development.

3. Keep up with the latest advancements in large-model technology, and be responsible for the development and engineering implementation of related technologies, accelerating the landing and optimization of cutting-edge large-model technology in business scenarios such as live broadcasting, short video, and instant messaging.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Machine Learning, Mathematics, or

related fields.

• Strong engineering implementation ability, proficient in at least one deep learning framework

(such as TensorFlow, PyTorch, etc.).

• Good learning ability, teamwork, and communication skills.

• Experience in LLM pre-training, SFT, RLHF, Prompt, AI agent, etc. is preferred.

• Priority will be given to those who have published papers in internationally renowned AI

conferences or have won awards in ACM competitions.