Remote AI Reinforcement Learning Engineer

Bright Vision Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Learning Systems Engineer to design, train, and deploy RL-based solutions for high-impact decision-making. Candidates should have deep RL knowledge, strong engineering pragmatism, and experience taking RL from research to production.

The role is 100% remote in the continental United States, full-time W2 with BV Teck. A coding assessment is mandatory and H1B transfers are supported for qualified candidates.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, or related field, or equivalent applied experience.
• Six or more 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 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 LLMs 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 and unintended behaviors; build dashboards.
• Document methodology and operational characteristics for internal stakeholders.
• Stay current with RL research and translate promising techniques into production-ready solutions.

Skills

Python

Deep learning

Reinforcement learning

Communication

Education

Master’s or PhD in CS/ML or equivalent

Tools

RL libraries

GPU clusters

Job description

Bright Vision Technologies is seeking an AI Learning Systems Engineer to design, train, and deploy RL-based solutions for high-impact decision-making. Candidates should have deep RL knowledge, strong engineering pragmatism, and experience taking RL from research to production.

The role is 100% remote in the continental United States, full-time W2 with BV Teck. A coding assessment is mandatory and H1B transfers are supported for qualified candidates.