The Role
Design, train, evaluate, and deploy reinforcement learning systems for complex decision-making problems. Responsibilities include developing RL algorithms, simulation environments, reward models, and neural network policies; scaling training on GPU clusters; and delivering stable, safe production systems. The role also involves research, communication, and continuous policy improvement, with preferred experience in RLHF, multi-agent or hierarchical RL, robotics, control systems, autonomous driving, and RL publications.
Summary Generated by Built In
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
Preferred Qualifications
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] 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.
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 [email protected] 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.
Skills Required
- Master's or PhD in Computer Science, Machine Learning, or a related field, or equivalent applied experience
- Six or more 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 in-house RL stack
- Understanding of probability, optimization, and theoretical reinforcement learning foundations
- 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 reinforcement learning work
- Experience with reinforcement learning from human feedback 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 venues
- Open-source contributions to reinforcement learning libraries or environments
Similar Jobs
.png)
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.
