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Full Time Reinforcement Learning Jobs (NOW HIRING)

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111K - $222K/yr

Strong background in one or more of the following: reinforcement learning, causal inference, LLM ... This fulltime position is eligible for a comprehensive benefits package designed to support the ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Experience with interactive machine learning (eg. active learning, reinforcement learning, machine ...

Scout AI

AI Researcher

Sunnyvale, CA · On-site

$160K - $400K/yr

You will lead research in core areas including reinforcement learning, vision-language-action ... Most full-time positions also include highly competitive equity awards, which form part of Scout AI ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Experience with interactive machine learning (eg. active learning, reinforcement learning, machine ...

RoboForce

AI Resident

Milpitas, CA · On-site

$10K/mo

Reinforcement learning, imitation learning, and policy optimization for embodied agents ... months, full-time Compensation: * $10,000 monthly salary Benefits: * Company-provided lunch and ...

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Full Time Reinforcement Learning information

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$21K

$61.7K

$114.5K

How much do full time reinforcement learning jobs pay per year?

As of Jul 23, 2026, the average yearly pay for full time reinforcement learning in the United States is $61,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Reinforcement Learning vs Data Scientist?

AspectFull Time Reinforcement LearningData Scientist
Required CredentialsAdvanced degree in CS, ML, or related field; experience with RL frameworksDegree in CS, Statistics, or related; strong programming and analytical skills
Work EnvironmentResearch labs, AI companies, tech firms focusing on RL projectsBusiness, tech companies, consulting firms analyzing data for insights
Industry UsageAI research, robotics, gaming, autonomous systemsFinance, healthcare, marketing, e-commerce, and more

Full Time Reinforcement Learning specialists focus on developing RL algorithms and models, often in research or AI product development. Data Scientists analyze data to extract insights and support decision-making across various industries. While both roles require strong technical skills, RL roles are more specialized in AI research and development, whereas Data Scientists have broader applications in data analysis and business strategy.

More about Full Time Reinforcement Learning jobs
What cities are hiring for Full Time Reinforcement Learning jobs? Cities with the most Full Time Reinforcement Learning job openings:
What are the most commonly searched types of Reinforcement Learning jobs? The most popular types of Reinforcement Learning jobs are:
What job categories do people searching Full Time Reinforcement Learning jobs look for? The top searched job categories for Full Time Reinforcement Learning jobs are:
Full Time Reinforcement Learning jobs near you
Infographic showing various Full Time Reinforcement Learning job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $61,692 per year, or $29.7 per hour.
Staff AI Research Engineer

Staff AI Research Engineer

Agility Robotics

Fremont, CA

$216K - $338K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by providing mentorship, guiding project execution, and establishing strong research and engineering practices.

About the Work
  • Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.
  • Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.
  • Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies.
  • Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.
  • Help onboard new researchers and accelerate their effectiveness in robot learning and experimental workflows.
  • Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
  • Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and deployment of control policies.
  • Develop, design, and test imitation learning methods.
  • Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.
About You
  • 7+ years of total experience in software engineering and/or AI/robotics.
  • 3+ years of hands-on experience developing and deploying learning-from-demonstration, reinforcement learning, imitation learning, foundation models, or related robot learning systems in real-world or simulated robotics environments
  • Proven ability to mentor and develop junior engineers or researchers, raising the technical bar of a team.
  • Track record of leading complex technical initiatives and influencing technical direction from research through deployment.
  • Strong ability to translate ambiguous research problems into structured, executable work for a team.
  • Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
  • Experience with modern learning-from-demonstration tools such as DiffusionPolicy.
  • Experience with robot data collection, training, and testing on hardware for manipulation tasks.
  • MS in Robotics, Computer Science, or a related field.
Bonus Points
  • PhD in Robotics, Computer Science, or a related field.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
  • Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
  • Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
  • Experience with writing performant, high quality software in C++

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range
$216,000—$338,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

Apply Now: https://grnh.se/b444bbd04us