AI Research Scientist: Self-Improving Systems

Tokka Labs; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Tokka Labs in Singapore is hiring a research scientist to build AI systems that learn from their own research and generalize across problems. You will work closely with trading and engineering teams, shaping automated research that compounds knowledge and drives real improvements in live systems.

We value strong machine learning, rigorous experimentation, and the ability to productionize ideas. You will report to the head of research and tackle open, high-impact problems in fast-paced

Qualifications

• Publications or equivalent research in ML, optimization, statistics or related fields.
• Hands-on work with frontier LLM agents, reinforcement learning, or self-learning systems.
• Ability to design careful experiments and avoid overfitting.

Responsibilities

• Research frontier models as autonomous researchers and propose avenues for improvement.
• Design, run and analyze experiments; translate results into new methods.
• Design how proven methods and tools are captured and reused across problems.
• Build evaluations that separate real improvement from noise, factoring cost.
• Generalize research systems into reusable tooling for new problems.
• Reduce manual onboarding work for new problems and problems across teams.
• Keep systems reliable, observable and cost-efficient.
• Explain work and uncertainty clearly to stakeholders.

Skills

Research track record

Agents & learning systems

Experimental rigor

Applied ML

Production coding

PhD + experience

Time-series modeling

PyTorch

Education

PhD or MSc in quantitative field

Tools

PyTorch

Transformers

Job description

Tokka Labs in Singapore is hiring a research scientist to build AI systems that learn from their own research and generalize across problems. You will work closely with trading and engineering teams, shaping automated research that compounds knowledge and drives real improvements in live systems.

We value strong machine learning, rigorous experimentation, and the ability to productionize ideas. You will report to the head of research and tackle open, high-impact problems in fast-paced