Percepta
Research Scientist – Reinforcement Learning (RL)
$200K–$400K
New York City +1 · On-site · Full-time · Posted Oct 2, 2026
- Location
- New York City
Boston - Education
- MS/PhD in Computer Science, ML, or related field, or equivalent experience.
About the job
Conduct reinforcement learning research for real-world decision-making challenges in critical industries, and help deploy successful methods in Percepta’s Mosaic platform.
What you'll do
- Identify real-world challenges suited to RL and develop methods for complex planning, decision-making, or optimization tasks.
- Build and maintain research infrastructure, including simulations, data pipelines, and training and evaluation frameworks; conduct large-scale real-world evaluations.
- Work with applied AI engineers to deploy successful research, and communicate outcomes to technical and non-technical stakeholders.
What they ask for
- MS/PhD in Computer Science, ML, or a related field, or equivalent experience.
- Track record of effective RL work.
- Ability to conduct rigorous RL experimentation.
Nice to have
- Experience with high-performance, large-scale distributed systems or large-scale LLM/RL training.
- Strong Python programming; experience with LLM post-training algorithms or named tools and libraries such as vLLM/SGLang, Ray, Kubernetes (or AWS EKS), VeRL, ROLL, SkyRL, AReal, or CleanRL.
Pay
$200K – $400K (base salary)
Tools
Python, vLLM/SGLang, Ray, Kubernetes, AWS EKS, VeRL, ROLL, SkyRL
AI focus
Research and deploy reinforcement learning methods for decision-making, planning, and optimization in critical industries; conduct RL training, evaluation, and real-world deployment.
Model-written summary · the original posting is authoritative