Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is hiring a Reinforcement Learning Engineer to design, train, and deploy reinforcement-learning systems for complex decision-making problems. The role focuses on developing and evaluating policies at scale and bringing RL solutions into production with stability, safety, and ongoing improvement.
Responsibilities
- We are looking for a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient
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 (U.S.)
- Tremendous career growth potential
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