RL Scientist — Industrial Foundation Models

Sigma Nova; Paris; On-site; EUR 75,000 - 110,000; Full time

Job summary

Sigma Nova is seeking a Research Scientist (Reinforcement Learning) to bring RL into the core of how foundation models are adapted for industrial use. You’ll design learning signals from expert feedback and build robust evaluation protocols.

You’ll work with engineers to deploy RL methods on production-ready models, address safety and uncertainty, and publish open research artifacts as appropriate.

Qualifications

• PhD or equivalent research experience in Reinforcement Learning / Machine Learning.
• Strong foundations in RL: policy optimization, off-policy learning, exploration, credit assignment.
• Ability to design rigorous experiments, debug failure modes, and iterate with scientific discipline.

Responsibilities

• Turn expert validation/correction into reliable learning signals for RL.
• Design practical feedback interfaces and signals for real operational settings.
• Develop RL methods that sit on top of foundation models used in production.
• Build evaluation protocols addressing robustness, uncertainty, safety, auditability and cost of error.
• Collaborate with scientists/engineers to ship demonstrators linking benchmarks to field outcomes.

Skills

Reinforcement Learning

Python

PyTorch

Experiment design

Debugging

Education

PhD or equivalent research experience in RL/ML

Tools

Python

PyTorch

Job description

Sigma Nova is seeking a Research Scientist (Reinforcement Learning) to bring RL into the core of how foundation models are adapted for industrial use. You’ll design learning signals from expert feedback and build robust evaluation protocols.

You’ll work with engineers to deploy RL methods on production-ready models, address safety and uncertainty, and publish open research artifacts as appropriate.