Hiring: AI Learning Systems Engineer Company: Bright Vision Technologies Location: Kirkland, WA Job Posted Time: 2026-09-16 19:45:11 Employment Type: Full-time / Remote Target Skills & Keywords : Deep Learning, LLM, Machine Learning, Python, Reinforcement Learning About the job Experience: •6+ years 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. Required Skills: •We are looking for an AI Learning Systems Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical. Qualifications: •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 •Preferred Qualifications •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 Compensation: •$100,000–$150,000 Annually •Experience Required: •6+ years •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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!