Hays

Data & AI Researcher (LLM, NLP, Computer Vision)

Hays

Singapore · Full Time

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Experience
Any
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
Education
PhD in Computer Science, Engineering, Statistics or related field
Resume
Required to apply

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Job description

About the Role

You will be joining a public sector R&D organization where your main responsibility is to spearhead research on large language models (LLM), focusing on the design and experimentation of fundamental model components and techniques.

Key Responsibilities

  • Lead research initiatives on LLM including designing experiments and exploring core model architectures and methodologies.
  • Execute independent research projects, analyze experimental outcomes, and effectively communicate results to stakeholders.
  • Collaborate with data engineering teams to convert low-technology readiness level (TRL) research into scalable, industry-ready solutions.
  • Maintain regular updates regarding scientific progress with supervisors and research leaders to ensure project alignment.
  • Provide mentorship to junior team members and actively participate in program-driven initiatives; publishing findings is supported but not compulsory.

Required Qualifications and Experience

  • Possess a PhD degree in Computer Science, Engineering, Statistics, or closely related technical disciplines.
  • Demonstrated experience in research & development with a focus on natural language processing (NLP) or generative AI.
  • Strong expertise or keen interest in LLM components such as entity-relation extraction, prompt engineering, reasoning capabilities, and sentiment analysis.
  • Hands-on experience or familiarity with generating synthetic data through generative AI technologies.

Employee Benefits

  • Opportunities for structured career advancement and professional development.
  • A stable working environment with hybrid work options available.

Additional Information

This role is based onsite in Singapore and forms part of an organization that prioritizes diversity and inclusion, encouraging applicants from a range of backgrounds. While publications are encouraged to advance scientific knowledge, they are not mandatory for this position.

Minimum education

Doctorate

How they work

Organisation required
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