Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company is seeking a Reinforcement Learning Engineer to design, train, and deploy reinforcement learning systems, with a focus on reward modeling, simulation environments, policy evaluation, and production-scale engineering.
Responsibilities
- 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
- **Sponsorship:**U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position
- * 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.)
- Full-time, Direct W2
- Tremendous career growth potential
Company Overview