AI Research Scientist

7 days ago

Singapore Robert Walters Full time

Overview
An AI Lab in Singapore is advancing frontier research in large language models, agentic systems, and machine reasoning. Anchored by a multi-year public-sector collaboration, the team combines cross-disciplinary PhD talent with an engineering-first culture to turn low-TRL ideas into robust prototypes that inform production systems. The Lab values rigorous experimentation, clear documentation, and close collaboration with product and platform engineers to deliver research with real-world impact.
Job responsibilities
Lead and execute
scientific experiments
across LLM core components (retrieval/RAG, entity-relation extraction, prompting/programming, reasoning, safety).
Curate data with engineers (collection, preprocessing, QA/augmentation) and build
training/evaluation pipelines .
Analyze results rigorously;
document
methods, architectures, and best practices; present findings to stakeholders.
Contribute code reviews and
architecture discussions ; help mature low-TRL research into robust prototypes.
Stay current with advances in
NLP/GenAI ; optional but valued:
publications
in reputable venues.
(Senior track) Mentor teammates or cross-team collaborators.
Job requirements
PhD
in Computer Science/Engineering/Statistics (or related). Strong
Master’s
profiles with research output will be considered.
2–4+ years
in AI/ML/NLP research (open to early-career researchers with publications).
Depth in one or more:
LLM modeling ,
information retrieval/RAG ,
entity-relation extraction ,
prompt engineering/agentic frameworks ,
reasoning , or
LLM vulnerabilities/safety .
Proficiency with
PyTorch/TensorFlow ; strong experimental design, analysis, and communication.
Comfortable collaborating with engineering to move research toward productization.
Why you should join them
Research focus with real-world impact:
publish-friendly culture while shipping prototypes that matter.
Serious peers:
join a cross-disciplinary PhD team, with mentorship and breadth across EEE, CS, bio/biotech, materials, and more.
Frontier problems:
agentic workflows, reasoning, retrieval quality, robustness/safety.
Structured runway:
3-year collaboration provides stability to pursue ambitious ideas.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Information Services and IT Services and IT Consulting
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