[Remote] Applied RL Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is seeking a Reinforcement Learning Engineer to design, train, and deploy reinforcement-learning systems for complex decision-making problems. The role focuses on algorithms, simulation environments, reward modeling, and training and evaluating policies at scale for stable, safe production use.

Skills

• Master's or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience
• Six 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
• Experience with RLHF for large language models
• Familiarity with multi-agent RL or hierarchical RL
• Exposure to robotics, control systems, or autonomous driving
• Publications in RL or related research venues
• Open-source contributions to RL libraries or environments

Benefits

• 100% remote (United States)

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