Reinforcement Learning Engineer

Bright Vision Technologies; Monroeville (Allegheny County); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies, a technology consulting and software development company, seeks an experienced Reinforcement Learning Engineer to design and implement RL solutions for complex decision tasks. This role is fully remote in the United States and offers substantial career growth within a seasoned organization.

You will build and calibrate simulation environments, evaluate modern RL algorithms, and develop robust training pipelines.

Qualifications

• Master’s or PhD in Computer Science, ML, or related field or equivalent experience.
• Six+ years of RL research and engineering experience.
• Strong proficiency in Python and modern deep learning frameworks.
• Experience with RL libraries or in-house RL stacks.
• Experience training neural network policies on GPU clusters.

Responsibilities

• Design and implement reinforcement learning solutions for sequential decision-making in real and simulated environments.
• Develop, calibrate, and maintain simulation environments for large-scale agent training.
• Implement and evaluate modern RL algorithms including policy gradient, actor-critic, and off-policy methods.
• Engineer reward functions and shaping strategies aligned with outcomes and safety constraints.
• Apply offline RL and imitation learning where exploration is costly or unsafe.
• Build scalable training infrastructure for distributed RL and efficient experience collection.
• Monitor deployed policies for drift and unintended behaviors; establish dashboards and alerts.
• Document methodology and decisions for internal stakeholders.

Skills

Python

Deep learning frameworks

Reinforcement Learning

RL libraries

Probability & optimization

GPU clusters

Simulation environments

Communication skills

Education

Master’s or PhD in Computer Science / ML

Tools

RL library / in-house RL stack

Job description

Reinforcement Learning Engineer - Remote

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

Reinforcement Learning Engineer

Location

100% Remote (U.S.)

Position Type

Full-time, Direct W2

Salary Range

$100,000–$150,000 Annually

Experience Required

10+ 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.

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.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

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.