AI Research Engineer – Reinforcement Learning

About the role

We are seeking an AI Research Engineer specialized in Reinforcement Learning to join a globally distributed research team. The position focuses on designing, testing, and deploying advanced RL algorithms for real‑world applications, working in a remote‑first environment.

Key responsibilities

• Design, develop, and implement cutting‑edge reinforcement learning algorithms for simulated and real‑world environments.
• Build, execute, and monitor large‑scale RL experiments, tracking performance metrics and benchmark results.
• Create high‑quality simulation environments and training datasets tailored to domain‑specific challenges.
• Optimize RL pipelines by addressing exploration strategies, policy divergence, reward instability, and computational efficiency.
• Collaborate with engineering and research teams to integrate RL agents into production systems.
• Define success metrics and continuously monitor deployed RL systems for robustness and scalability.
• Document experimental findings and contribute to ongoing AI research initiatives.

Required profile

• Degree in Computer Science, AI, Machine Learning or related field; PhD preferred.
• Strong research background in reinforcement learning, machine learning, or AI with proven contributions.
• Hands‑on experience conducting large‑scale RL experiments, including online methods such as Group Relative Policy Optimization (GRPO).

Required skills

• Reinforcement Learning
• Group Relative Policy Optimization (GRPO)
• Machine Learning
• Natural Language Processing (NLP)