Senior Reinforcement Learning Engineer - Remote

Bright Vision Technologies; Monroe Township (NJ); Teletrabalho; USD 100 000 - 150 000; Tempo integral

Resumo da oferta

Bright Vision Technologies is seeking a Reinforcement Learning Engineer for a fully remote role in the U.S. You will design and deploy RL solutions, build scalable training environments, and evaluate modern RL algorithms for production systems.

Required: Master’s/PhD in CS/ML (or equivalent), 10+ years in RL, strong Python and DL framework skills, and a track record of shipping RL work.

Qualificações

• Master’s or PhD in Computer Science, Machine Learning, or 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.

Responsabilidades

• 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.

Conhecimentos

Python

Deep learning

RL libraries

Probability

Optimization

Communication

Formação académica

Master's/PhD in Computer Science or Machine Learning

Ferramentas

GPU clusters

RL libraries (e.g., stable-baselines, RLlib)

Descrição da oferta de emprego

Bright Vision Technologies is seeking a Reinforcement Learning Engineer for a fully remote role in the U.S. You will design and deploy RL solutions, build scalable training environments, and evaluate modern RL algorithms for production systems.

Required: Master’s/PhD in CS/ML (or equivalent), 10+ years in RL, strong Python and DL framework skills, and a track record of shipping RL work.