Senior Reinforcement Learning Engineer — Remote

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

Job summary

Bright Vision Technologies is a technology consulting and software company providing cloud, AI, data, and enterprise solutions across the United States. We are seeking a Reinforcement Learning Engineer to design and deploy advanced RL systems remotely in the US, collaborating with scientists and product teams.

The role demands a strong background in RL, Python, and scalable training pipelines. This full-time position offers significant career growth, exposure to cutting-edge RL techniques

Qualifications

• Master’s or PhD in Computer Science, ML, or related field; or equivalent applied experience.
• 10+ years of 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 RL theory.
• Experience designing 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.
• 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.

Skills

Deep RL

Python

GPU training

RL Libraries

Education

PhD in Computer Science or ML

Tools

PyTorch

TensorFlow

OpenAI Gym

Job description

Bright Vision Technologies is a technology consulting and software company providing cloud, AI, data, and enterprise solutions across the United States. We are seeking a Reinforcement Learning Engineer to design and deploy advanced RL systems remotely in the US, collaborating with scientists and product teams.

The role demands a strong background in RL, Python, and scalable training pipelines. This full-time position offers significant career growth, exposure to cutting-edge RL techniques