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About the Role

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.

Responsibilities

Design, train, and deploy RL-based systems for high-impact decision-making problems.
Take RL solutions from the lab into production, ensuring stability, safety, and ongoing improvement.

Requirements

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.

Skills

Python
Modern deep learning frameworks
RL libraries or in-house RL stack
Probability
Optimization
Theoretical foundations of RL
Reward function design and tuning
Simulation environments
Large-scale experience collection
Training neural network policies on GPU clusters
Written communication
Verbal communication
RLHF for large language models
Multi-agent RL
Hierarchical RL
Robotics
Control systems
Autonomous driving

Location

100% Remote (U.S.)

Work Type

Full-time
Direct W2

Experience Level

6+ years

Education Level

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

Salary/Compensations

$155,000–$180,000 Annually

About the Company

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.

Equal Opportunity

Bright Vision Technologies is an Equal Opportunity Employer.
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.