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Bright Vision Technologies

Machine Learning Engineer – RL

Bright Vision Technologies Wildwood, Missouri, United States · $155K–$180K/yr

Information Technology & Services · 11-50 employees

20 h ago
Remote machine-learning Senior (5-10 yrs) Full-time United States
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About the role

Design, train, and deploy reinforcement-learning systems for complex decision-making problems, including developing reward functions and using simulation environments to collect experience. Train and evaluate policies at scale, and bring RL solutions into production with a focus on stability, safety, and continuous improvement.

What they look for

Reinforcement Learning Python Deep Learning Frameworks Reward Modeling Reward Function Design Simulation Environments Policy Training GPU Clusters Probability Optimization Large-Scale Experience Collection RLHF Multi-Agent Reinforcement Learning Hierarchical Reinforcement Learning Robotics Control Systems

Requirements

Requires a master’s or PhD in computer science, machine learning, or a related field, or equivalent applied experience, plus at least six years of combined reinforcement-learning research and engineering experience. Candidates need strong Python and deep-learning skills, experience with an RL library or in-house stack, and knowledge of RL theory, reward design, simulation, and GPU-based policy training.

Full description

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: $155,000–$180,000 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.

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.

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.

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