Senior Reinforcement Learning Engineer - Remote

Bright Vision Technologies; Monroe (NJ); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Reinforcement Learning Engineer for a 100% remote role in the United States. The position requires 10+ years of RL experience, strong Python and deep learning skills, and expertise with major RL libraries and GPU training.

You will design RL solutions, build scalable training infrastructures, calibrate simulators, and implement safety and evaluation protocols. The role emphasizes collaboration with product teams and ongoing RL research translation.

Qualifications

• 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.
• Experience training neural network policies on GPU clusters.

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.
• 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.

Skills

Python

Deep learning

Communication skills

RL theory

Model evaluation

Education

Master’s or PhD in CS/ML

Equivalent applied experience

Tools

OpenAI Gym

Stable Baselines

PyTorch

TensorFlow

Job description

Bright Vision Technologies is seeking a Reinforcement Learning Engineer for a 100% remote role in the United States. The position requires 10+ years of RL experience, strong Python and deep learning skills, and expertise with major RL libraries and GPU training.

You will design RL solutions, build scalable training infrastructures, calibrate simulators, and implement safety and evaluation protocols. The role emphasizes collaboration with product teams and ongoing RL research translation.