Total 2 researcher job vacancies in D12 Balestier, Serangoon, Toa Payoh

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

We are looking for an enthusiastic and skilled AI Researcher to join our dynamic research team. The ideal candidate should have a strong foundation in artificial intelligence and machine learning, coupled with the passion to innovate and improve the capabilities of existing solutions. You will work on cutting-edge research projects, develop new algorithms, and contribute to the advancement of our AI initiatives, via both independent and collaborative research efforts. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative AI/ML solutions. Responsibilities include designing and conducting scientific experiments, utilizing core AI/ML knowledge to develop novel AI solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should also have excellent communication skills, a strong work ethic, and a passion for delivering highquality, innovative solutions.

Responsibilities:

• Conduct novel and cutting-edge research in AI and machine learning. Research areas include but are not limited to computer vision (CV), natural language processing (NLP), automatic speech recognition (ASR), etc.
• Design, implement, and optimize algorithms and models for various applications employing supervised, self-supervised, semi-supervised, or unsupervised learning.
• Collaborate with our partners and engineers to apply research findings to real-world problems and product development.
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• While publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.
• Adhere to ethical research and coding best practices with timely documentation and updates.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related technical field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Computer vision.
2. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, guardrail, etc....
3. Generative AI, specifically in generating synthetic data.
4. Audio analytics.
5. Large vision language model (LVLM),
6. Embodied AI.

• Proficiency in programming languages such as Python and/or C/C++. Experience with deep learning frameworks like TensorFlow, Keras, and/ or PyTorch.
• Demonstrate an analytical mindset with adept problem-solving skills.
• Stay abreast of the latest research developments in AI through literature review, attending conferences, and tech-sharing sessions with fellow team members.
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and organizational skills. Mentoring experience and skills are a plus.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.