Autonomous Learning Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Autonomous Learning Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually Experience Required: 10+ 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. Job Summary Bright Vision Technologies is seeking a highly experienced Autonomous Learning Engineer with 10+ years of experience in Artificial Intelligence, Reinforcement Learning (RL), and Deep Learning to design, train, and deploy intelligent decision-making systems for complex real-world applications. The ideal candidate will possess deep expertise in Python, reinforcement learning, deep learning, simulation environments, distributed training, and RLHF (Reinforcement Learning from Human Feedback) while driving the architecture and deployment of scalable, production-ready autonomous learning solutions. Key Responsibilities Design, develop, and deploy advanced reinforcement learning solutions for complex decision-making and autonomous systems. Architect scalable reinforcement learning training pipelines using distributed computing and GPU-accelerated infrastructure. Design, build, and optimize simulation environments for training and validating reinforcement learning agents. Develop, implement, and evaluate modern RL algorithms, reward models, and policy optimization techniques. Build autonomous learning systems leveraging RLHF , imitation learning, offline reinforcement learning, and multi-agent learning approaches. Improve model convergence, sample efficiency, training stability, inference performance, and production s