[Remote] Machine Learning Engineer – RL
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 Machine Learning Engineer – RL to design, train, and deploy reinforcement learning systems, develop reward models and simulation environments, and engineer the training and evaluation of policies at scale. The role focuses on taking reinforcement learning solutions from research into stable, safe, and continuously improving production systems.
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
- Tremendous career growth potential
Company Overview