About the Company
Bright Vision Technologies (BV Teck) is a technology consulting and software development company delivering cloud, artificial intelligence, data, and enterprise solutions across the United States. The company offers opportunities for professional development and career growth across its technology-focused services.
About the Role
Bright Vision Technologies is seeking a Machine Learning Engineer specializing in Reinforcement Learning (RL) to design, train, and deploy reinforcement learning systems for complex decision-making problems that cannot be adequately addressed through supervised learning alone.
The role combines research expertise with practical engineering, focusing on reinforcement learning algorithms, simulation environments, reward modeling, and large-scale policy training and evaluation. You will help move RL solutions from research into production, with an emphasis on stability, safety, and continuous improvement.
Key Responsibilities
Design, train, and deploy reinforcement learning systems for complex decision-making applications.
Apply modern reinforcement learning algorithms to problems where supervised learning alone is insufficient.
Develop and tune reward functions for complex environments.
Design and work with simulation environments to support policy development and large-scale experience collection.
Train neural network policies using GPU clusters.
Develop and evaluate reinforcement learning policies at scale.
Apply probability, optimization, and reinforcement learning theory to practical engineering challenges.
Assess policy performance and support the deployment of reliable RL solutions into production environments.
Improve the stability, safety, and ongoing performance of deployed reinforcement learning systems.
Contribute to impactful reinforcement learning work through engineering delivery, research, or publication.
Required Qualifications
Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent applied experience.
At least six years of combined reinforcement learning research and engineering experience.
Strong proficiency in Python and modern deep learning frameworks.
Hands-on experience with at least one major reinforcement learning library or an in-house RL stack.
Solid understanding of probability, optimization, and the theoretical foundations of reinforcement learning.
Experience designing and tuning reward functions in complex environments.
Familiarity with simulation environments and large-scale experience collection.
Experience training neural network policies on GPU clusters.
Strong written and verbal communication skills.
A track record of delivering or publishing impactful reinforcement learning work.
Preferred Qualifications
Experience with reinforcement learning from human feedback (RLHF) for large language models.
Familiarity with multi-agent reinforcement learning or hierarchical reinforcement learning.
Exposure to robotics, control systems, or autonomous driving.
Publications in reinforcement learning or related research fields.
Open-source contributions to reinforcement learning libraries or environments.
Salary and Employment Details
Annual salary range: $155,000–$180,000.
Employment type: Full-time, direct W-2 employment.
Experience level: Six or more years of combined reinforcement learning research and engineering experience.
Visa eligibility: U.S. citizens, Green Card holders, EAD holders, and candidates eligible for H-1B transfer are encouraged to apply. New H-1B visa petitions cannot be sponsored for this position.
Work Arrangement
Location: Fully remote within the United States.
Equal Employment Opportunity
Bright Vision Technologies (BV Teck) is an Equal Opportunity Employer committed to fair employment practices. The company does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other status protected by applicable federal, state, or local laws.
This commitment applies to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfers, leave, termination, layoffs, and recall. Workplace harassment and discrimination are prohibited, and improper interference with employees’ ability to perform their duties may result in disciplinary action, up to and including termination.