Senior Reinforcement Learning Engineer - Remote

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

Job summary

Bright Vision Technologies is seeking a Reinforcement Learning Engineer for a fully remote US-based role. The position requires 10+ years of RL research and engineering experience, strong Python skills and modern deep learning frameworks, and hands-on work with major RL libraries or custom stacks.

You will design RL systems for sequential decision tasks, build scalable training infra, and collaborate with scientists and product teams to ship robust RL solutions while ensuring safety constraints

Qualifications

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

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.

Skills

Python

DL frameworks

RL libraries

Probability & optimization

Reward design

Simulation envs

GPU training

Communication

RL research/publishing

Impactful RL work

Education

Master’s/PhD in CS/ML or related

Tools

Major RL libraries

Job description

Bright Vision Technologies is seeking a Reinforcement Learning Engineer for a fully remote US-based role. The position requires 10+ years of RL research and engineering experience, strong Python skills and modern deep learning frameworks, and hands-on work with major RL libraries or custom stacks.

You will design RL systems for sequential decision tasks, build scalable training infra, and collaborate with scientists and product teams to ship robust RL solutions while ensuring safety constraints