BV
Applied RL Engineer
Bright Vision TechnologiesRemoteposted 3d ago
- PayUSD / yr
- $100k – 150k
- Where
- Remote
- Posted
- Oct 13
- 3 days ago
- Type
- Full-time
- Setup
- Remote
EMPLOYMENT
Full-time
COMPENSATION
$100k - 150k/yr
ARRANGEMENT
Remote
At a glance
Design, train, and deploy reinforcement learning systems, taking policies from research into stable, safe production environments and improving them at scale.
Summarized by AI from the original posting
What you'll do
- Design RL-based systems for decision-making problems
- Train and deploy reinforcement learning systems
- Design and tune reward functions
- Train neural network policies on GPU clusters
- Evaluate policies at scale
- Take RL solutions from research into production
- Support stability, safety, and ongoing improvement of deployed systems
Requirements
- 01Six or more years of combined RL research and engineering experience
- 02Strong proficiency in Python and modern deep learning frameworks
- 03Hands-on experience with a major RL library or in-house RL stack
- 04Understanding of probability, optimization, and RL theory
- 05Experience designing and tuning reward functions
- 06Experience with simulation environments and large-scale experience collection
- 07Experience training neural network policies on GPU clusters
- 08Track record of shipping or publishing impactful RL work
Skills
PythonDeep Learning FrameworksReinforcement LearningRl LibrariesRl StacksProbabilityOptimizationReward ModelingReward FunctionsSimulation EnvironmentsGpu ClustersNeural Networks
Full description
Applied 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: Applied RL Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 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 Reinforcement Learning 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 boon@bvteck.com or contact us at (908) 650-6699. 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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