Reinforcement Learning Engineer

About the job

Reinforcement Learning Engineer - Remote 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: Reinforcement Learning Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 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. Key Responsibilities • Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments. • Develop, calibrate, and maintain simulation environments suitable for large-scale agent training. • Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods. • Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints. • Apply offline RL and imitation learning techniques where exploration is costly or unsafe. • Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant. • Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems. • Optimize training stability and sample efficiency through algorithmic and engineering improvements. • Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases. • Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight. • Collaborate with applied scientists and product teams to identify high-value RL use cases. • Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users. • Document methodology, design decisions, and operational characteristics for internal stakeholders. • Stay current with RL research and translate promising techniques into production-ready solutions. Required Qualifications • Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience. • Ten 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. • Open-source contributions to RL libraries or environments. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer.