Machine Learning Engineer – RL

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Machine Learning Engineer – RL

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience Required: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary:

We are looking for a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.

Key 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

Required Qualifications

Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience

Six 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

Preferred Qualifications

Experience with RLHF for large language models

Familiarity with multi-agent RL or hierarchical RL

Exposure to robotics, control systems, or autonomous driving

Publications in RL or related research venues

Open-source contributions to RL libraries or environments

How To Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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