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: $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. Job Summary: We are seeking an Autonomous Learning Engineer to design, train, and deploy reinforcement learning (RL) solutions for complex decision-making systems. The ideal candidate will have expertise in Python, deep learning, reinforcement learning, simulation environments, RLHF, and distributed training , with experience building scalable, production-ready AI solutions. Key Responsibilities: Design and implement reinforcement learning solutions for real-world applications. Develop and optimize simulation environments and RL training pipelines. Implement and evaluate modern RL algorithms and reward models. Improve model performance, training stability, and sample efficiency. Collaborate with AI and product teams to deploy production-ready RL solutions. Monitor deployed models and ensure reliability, safety, and continuous improvement. Required Qualifications: 6+ years of experience in reinforcement learning research and engineering. Strong proficiency in Python and modern deep learning frameworks. Experience with RL libraries, simulation environments, GPU-based training, and distributed learning. Strong understanding of reinforcement learning, optimization, and probability. Preferred Qualifications: Experience with RLHF , multi-agent RL, robotics, autonomous systems, or control systems. Publications or open-source con