Reinforcement Learning Engineer

About the role

Partner with data scientists and software engineers to frame business problems as reinforcement learning and identify suitable approaches. Build and scale Python-based ML systems from prototypes to production using frameworks such as PyTorch, scikit-learn, or other relevant machine learning libraries.

What you'll do

• Partner with data scientists and software engineers to frame business problems as reinforcement learning and identify suitable approaches
• Design evaluation methods and analyze results using appropriate metrics, baselines, statistical methods, and offline or online experiments
• Work with human and AI-generated feedback, evaluation data, and interaction traces to support model improvement and learning from preferences

What you need

• 1–3 years in software engineering
• Python
• Machine learning
• Prototyping
• PyTorch
• Scikit-learn
• Any graduate

What you get