Remote Position
Reinforcement Learning Engineer
🌍 Remote · United States
💼 Full-time
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.
- 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.
Master's or PhD in Computer Science, Machine Learning, or related field; 6+ years RL research and engineering; strong Python and deep learning frameworks; experience with RL libraries, reward function design, simulation environments, and GPU cluster training.
Key Responsibilities
- designing RL solutions
- developing simulation environments
- implementing RL algorithms
Skills & Tools
Python, RL library, GPU clusters
Job Details
- Category: Software Development
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 100,000 – 150,000 / year
- Languages: English
About Bright Vision Technologies
A technology consulting and software development company delivering cloud, AI, data, and enterprise solutions. — Industry: Information Technology