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 an AI Learning Systems Engineer to design, train, and deploy reinforcement-learning-based systems for high-impact decision-making problems. The role focuses on reward modeling, simulation environments, policy training and evaluation at scale, and deploying stable, safe RL solutions into production.
Responsibilities
- Design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient
- Taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical
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.)
- Full-time, Direct W2
Company Overview