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Remote Reinforcement Learning Jobs (NOW HIRING)

Principal, Data Scientist (Pricing)

Bentonville, AR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... learning, reinforcement learning), causal inference, experimentation, and statistics to solve ...

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Preferred * Expertise in Reinforcement Learning (RL) . * Experience with Meta-Learning

New

Applied AI/ML Engineer

$175K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Build and operate reinforcement-learning and post-training pipelines using slime (Megatron-LM ... Remote-first with regular off-sites and a high-trust, high-velocity team environment We are a ...

Principal, Data Scientist (Pricing)

Sunnyvale, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... learning, reinforcement learning), causal inference, experimentation, and statistics to solve ...

We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data ... We are a 100% remote company. * Competitive compensation & meaningful equity. * Outsized ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

... Reinforcement Learning, Statistics, and Optimization. The role will report directly to the CTO. ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... Reinforcement Learning, Statistics, and Optimization. The role will report directly to the CTO. ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Expression of Interest - Engineering

Seattle, WA · Remote

$19 - $24.75/hr

We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data ... We are a 100% remote company. * Competitive compensation & meaningful equity. * Outsized ...

Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning ... Practical experience in Pretraining , Reinforcement learning , Post-training , Dataset curation ...

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Experience with Advance Reinforcement Learning Paradigms. * Experience with Speech Recognition.

Senior Machine Learning Engineer, Recommendation

$107K - $146K/yr

  • Medical

We are remote-first across all positions and are looking for ambitious, AI-native builders who want ... Experience with explore/exploit, contextual bandits, reinforcement learning, or long-term value ...

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Experience with Advance Reinforcement Learning Paradigms. * Experience with Speech Recognition.

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Experience with Advance Reinforcement Learning Paradigms. * Experience with Speech Recognition.

Showing results 41-60

Remote Reinforcement Learning information

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$11K

$83.9K

$140K

How much do remote reinforcement learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote reinforcement learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a remote reinforcement learning?

A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.

What are the key skills and qualifications needed to thrive as a remote reinforcement learning engineer?

To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.

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

AspectRemote Reinforcement Learning
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms
Work EnvironmentResearch-focused, experimental, often involves simulation and algorithm development
Employer & Industry UsageTech companies, research labs, AI startups focusing on autonomous systems
Common Search & Comparison IntentUnderstanding specialized AI roles, research focus, and technical skills

Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.

What are common challenges faced when working remotely in a reinforcement learning role and how can they be addressed?

Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.
More about Remote Reinforcement Learning jobs
What cities are hiring for Remote Reinforcement Learning jobs? Cities with the most Remote 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 states have the most Remote Reinforcement Learning jobs? States with the most job openings for Remote Reinforcement Learning jobs include:
Infographic showing various Remote Reinforcement Learning job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Principal, Data Scientist (Pricing)

Walmart

Bentonville, AR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,407 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...What you'll do...Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.
This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available. About the Role:
Walmart Global Tech is seeking a talented and experienced Principal Data Scientist specializing in Pricing Algorithms to lead our efforts in developing sophisticated pricing models and strategies. As a Principal Data Scientist, you will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will lead a team of data scientists and collaborate closely with cross-functional teams to develop and implement pricing algorithms that maximize profitability and drive business growth. About the Team: The Applied AI team researches and develops advanced algorithms that power strategic decision-making across pricing, markdown optimization, price recommendations, price elasticity, assortment optimization, supply chain, replenishment, and store layout. You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions at enterprise scale.
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and statistics to solve complex pricing and retail challenges. We develop innovative AI solutions that directly influence business strategy and customer experience, and our research is regularly published in top-tier conferences and journals. What You'll Do:
  • Strategic Leadership: Provide strategic leadership and technical expertise in the development and implementation of pricing algorithms and models. Define the vision, roadmap, and priorities for pricing optimization initiatives.
  • Algorithm Development: Lead the design, development, and deployment of advanced pricing algorithms using state-of-the-art machine learning techniques, including but not limited to regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.
  • Code Review: Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.
  • Data Analysis and Insights: Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.
  • Model Evaluation and Optimization: Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance. Implement rigorous testing methodologies to assess model effectiveness and robustness.
  • Collaboration and Stakeholder Engagement: Collaborate closely with cross-functional teams including product management, engineering, marketing, and finance to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.
  • Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.
  • Documentation and Communication: Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.
  • Mentorship and Knowledge Sharing: Mentor junior team members and provide guidance on technical and methodological aspects of pricing analytics and data science. Foster a culture of learning and knowledge sharing within the team.
What You'll Bring:
  • Ph.D. or equivalent advanced degree in Computer Science, Statistics, Mathematics, Economics, or related field.
  • Extensive experience (8+ years) in data science, machine learning, and statistical analysis, with a focus on pricing optimization.
  • Proven track record of building and deploying pricing algorithms/models in a real-world setting.
  • Expertise in programming languages such as Python, R, or Scala for data analysis and model development.
  • Strong understanding of pricing concepts, methodologies, and strategies in diverse industries.
  • Deep knowledge of machine learning algorithms and techniques, with hands-on experience in applying them to pricing problems.
  • Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.
  • Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.That'swhat we do at Walmart Global Tech.We'rea team of software engineers, data scientists, cybersecurityexpertsand service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstarta great careerin tech, gain new skills and experience forvirtually everyindustry, orleverageyourexpertiseto innovate at scale,impactmillionsandreimaginethe future of retail.
Walmart's culture is a competitive advantage, andit'sfostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.We use our campuses to create purposeful connections rooted in deepening understanding and investing in the development of our associates.

Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other greatperksinclude401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer - by choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities,ideasand opinionswhile beingwelcoming ofall people.
The above information has been designed toindicatethe general nature and level of work performed in the role. It is not designed tocontainor be interpreted as a comprehensive inventory of all responsibilities and qualificationsrequired ofemployees assigned to this job. The full Job Description can be made available as part of the hiring process.
#LI-onsite
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09104: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...2608 Se J St, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

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From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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