Hays

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

Hays

Singapore · Full Time

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Experience
Any
Salary
Openings
1
Posted
3 seconds ago
Work mode
In office
Education
PhD in Computer Science, Engineering, Statistics, or related technical field
Eligibility
Candidates with a PhD in relevant technical fields and experience in research and development within NLP or generative AI domains are invited to apply. The organization encourages applications from diverse backgrounds and welcomes referrals.
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Job description

About the Role and Responsibilities

You will lead research design and experimentation centered on Large Language Models (LLM), focusing on fundamental model components and methodologies. Independently conduct investigations, analyze findings critically, and effectively communicate insights to stakeholders. Collaborate on data engineering efforts and contribute to scaling early-stage research into mature engineering solutions. Regularly update supervisors and research leaders on scientific progress to ensure alignment. Provide mentorship to team members and engage in program initiatives. Although publishing results is encouraged, it is not a mandatory requirement.

Required Qualifications and Experience

  • A PhD in Computer Science, Engineering, Statistics, or a closely related technical field.
  • Prior experience in research and development within Natural Language Processing (NLP) or generative AI domains.
  • Demonstrated expertise or strong interest in LLM-related areas such as entity-relation modeling, prompt engineering, reasoning processes, and sentiment analysis.
  • Familiarity with synthetic data creation leveraging generative AI methodologies.

Compensation and Benefits

  • Structured opportunities for career advancement along with extensive professional development support.
  • A stable working environment with flexible hybrid arrangements.

Additional Information

The organization values diversity and inclusion, actively encouraging applicants from varied backgrounds. Referrals are welcomed.

EA Registration Number: R22110258 | EA License Number: 07C3924 | Company Registration Number: 200609504D

Minimum education

Doctorate

How they work

Communication Teamwork & Collaboration Problem Solving Leadership
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