Reinforcement Learning Engineer

Join Bright Vision Technologies as a Reinforcement Learning Engineer, designing and implementing RL solutions for sequential decision-making problems. The role involves developing simulation environments, implementing modern RL algorithms, and applying offline RL and imitation learning techniques.

What You Will Do

Design and implement reinforcement learning solutions, develop simulation environments, implement and evaluate modern RL algorithms, engineer reward functions, and apply offline RL and imitation learning techniques.

Why It Might Be a Fit

The ideal candidate has 10+ years of combined RL research and engineering experience, a Master's or PhD in Computer Science, Machine Learning, or a related field, and strong proficiency in Python and modern deep learning frameworks.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.
• Ten or more years of combined RL research and engineering experience.
• Strong proficiency in Python and modern deep learning frameworks.
• Hands-on experience with at least one major RL library or in-house RL stack.
• Solid understanding of probability, optimization, and the theoretical foundations of RL.
• Experience designing and tuning reward functions in non-trivial environments.
• Familiarity with simulation environments and large-scale experience collection.
• Experience training neural network policies on GPU clusters.
• Strong written and verbal communication skills.
• Track record of shipping or publishing impactful RL work.

Benefits

• Salary Range: $100,000–$150,000 Annually
• 100% Remote (U.S.)
• Full-time, Direct W2