RL Engineer

Posted 4 Days Ago
Be an Early Applicant
Palo Alto, CA, USA
In-Office
80K-100K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, train, evaluate, and deploy reinforcement learning systems for complex decision-making problems. Develop reward functions, simulation environments, and scalable policy-training pipelines using GPU clusters. Apply modern RL algorithms and deep learning frameworks to deliver stable, safe production systems. Collaborate across research and engineering, with opportunities involving RLHF, multi-agent and hierarchical RL, robotics, control systems, and autonomous driving.
Summary Generated by Built In
RL 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: RL Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$100,000 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 RL Engineer 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]. 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
  • Solid 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 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
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The Company
53 Employees
Year Founded: 2020

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.

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