ZipRecruiter

Log In

1

Reinforcement Learning Engineer Salary Jobs in Oregon

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... The final salary offered to a successful candidate will be dependent on several factors that may ...

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... The final salary offered to a successful candidate will be dependent on several factors that may ...

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... The final salary offered to a successful candidate will be dependent on several factors that may ...

Intel

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

  • Medical

  • Retirement

  • PTO

... reinforcement learning. * Ability to own and drive a research agenda independently, generating ... Annual Salary Range for jobs which could be performed in the US: $195,200.00-361,200.00 USD The ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site

$195K - $304K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... The final salary offered to a successful candidate will be dependent on several factors that may ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... The final salary offered to a successful candidate will be dependent on several factors that may ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site

$195K - $304K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... The final salary offered to a successful candidate will be dependent on several factors that may ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep experience in NLP, LLMs, Generative AI, and/or Reinforcement Learning. * Experience in health ... Salary and Benefits Base Range: $136,000 - $170,000 Commission Eligible: No Travel: No Location ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$466K - $750K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... reinforcement learning and bandits, computer vision, computer graphics, natural language processing ... Strong software engineering skills. Required: Python, TensorFlow, PyTorch Nice to have: Java, Scala ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Salary Range : $205,000-$270,000 + Offers Equity We have noticed a rise in recruiting ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... The posted base salary range represents what we expect to pay for this role in a given location.

Netflix

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We are looking for an experienced Machine Learning Engineer with deep expertise in training and ... You choose each year how much of your compensation you want in salary versus stock options. To ...

Netflix

Software Engineer 4/5- AI for Member Systems

OR · On-site +1

$466K - $750K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models Evidence ... You choose each year how much of your compensation you want in salary versus stock options. To ...

Nextdoor

Senior/Staff Machine Learning Engineer - Ads

OR · On-site +1

$205K - $355K/yr

... engineers will use for years to come as we ramp up our effort to introduce machine learning into ... The starting salary for this role is expected to range from $205,000 to $355,000 on an annualized ...

next page

Showing results 1-20

All JobsReinforcement Learning Engineer Salary JobsReinforcement Learning Engineer Salary Jobs in Oregon

Reinforcement Learning Engineer Salary information

What is the difference between Reinforcement Learning Engineer Salary vs Machine Learning Engineer Salary?

Reinforcement Learning Engineer SalaryMachine Learning Engineer Salary
Average salary varies based on experience, location, and industry, typically ranging from $100,000 to $150,000 annually.Average salary also varies widely, generally between $90,000 and $140,000 annually, depending on similar factors.

Both roles require strong programming skills, knowledge of machine learning frameworks, and experience with data analysis. Reinforcement Learning Engineers focus specifically on developing algorithms for decision-making tasks, while Machine Learning Engineers work on broader AI models. Salaries are comparable, with Reinforcement Learning Engineers often earning slightly more in specialized industries.

What is the salary of reinforcement learning engineer?

The salary of a reinforcement learning engineer typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often including benefits such as stock options and bonuses.

What are popular job titles related to Reinforcement Learning Engineer Salary jobs in Oregon?

For Reinforcement Learning Engineer Salary jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer Salary jobs in Oregon look for?

The top searched job categories for Reinforcement Learning Engineer Salary jobs in Oregon are:

What cities in Oregon are hiring for Reinforcement Learning Engineer Salary jobs?

Cities in Oregon with the most Reinforcement Learning Engineer Salary job openings:

Reinforcement Learning Engineer Salary jobs near you

Senior AI Software Engineer, Reinforcement Learning

Agility Robotics

Salem, OR • On-site

$187K - $292K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 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.
Agility is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling.
Why Join Now
Digit is one of the only humanoid robots deployed in real customer facilities today-at Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre, with 65,000+ hours of real-world operation logged. In June 2026 we announced plans to become the first pure-play humanoid robotics company to trade publicly (ticker AGLT), in a ~$2.5B merger backed by NVIDIA, Amazon, SoftBank Vision Fund 2, and Foxconn. With $300M+ in orders for Digit and a factory built for 10,000 robots a year, we're scaling fast-and the policies you build will ship to robots working alongside people in production, not sit in simulation.
About the Role
The AI Controls team builds high-rate learned controllers that let Digit move robustly, efficiently, and safely in dynamic environments. As an AI Controls Engineer, you'll develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation-integrating perception to enable collision-free, perceptive motion in the real world.
About The Work
  • Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.
  • Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.
  • Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and evaluation of control policies.
  • Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.

About You
  • 4+ years of experience developing and deploying RL policies for robotics applications.
  • Strong Python skills and hands-on experience with a deep learning framework such as PyTorch.
  • Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.
  • Experience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.
  • Proven experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.
  • Familiarity with robot simulation environments (e.g. Mujoco-Warp, Isaac) and sim-to-real transfer.
  • A collaborative approach and the ability to deliver safe, high-quality software in a fast-paced environment.

Bonus Qualifications
  • Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
  • Experience with contact-rich manipulation, including force-torque or tactile sensing.
  • Familiarity with policy distillation (e.g. teacher-student) for transferring state-based policies to perception-driven ones.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).

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
$187,000-$292,000 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