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Work From Home Reinforcement Learning Jobs (NOW HIRING)

poolside

Member of Engineering (Reinforcement Learning)

$99K - $136K/yr

This is a hands-on role where you'll work end-to-end from researching new exploration or training ... Well-being, always-be-learning & home office allowances * Company-provided equipment * Frequent ...

Centific

Applied Reinforcement Learning Engineer

You'll work at the intersection of RL research and production systems, translating customer ... CQL, BCQ, IQL for learning from fixed datasets without environment interaction • Model-based RL:

The Jernigan Agency

WORK FROM HOME

Hoboken, NJ · On-site +1

Occasional travel for work for in-person conferences. If you are not currently licensed but have a ... Lead system for getting in front of clients If you are interested in learning more about working ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still ... Embrace a learning mindset, quickly adjusting to new situations and challenges. * Team Player:

The Jernigan Agency

WORK FROM HOME

Green Bay, WI · On-site +1

Occasional travel for work for in-person conferences. If you are not currently licensed but have a ... Lead system for getting in front of clients If you are interested in learning more about working ...

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still ... Embrace a learning mindset, quickly adjusting to new situations and challenges. * Team Player:

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still ... Embrace a learning mindset, quickly adjusting to new situations and challenges. * Team Player:

AO Globe Life

Work From Home

Virginia Beach, VA · On-site +1

Join our fully virtual, work-from-home team where you can earn an exceptional income while still ... Embrace a learning mindset, quickly adjusting to new situations and challenges. * Team Player:

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How much do work from home reinforcement learning jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for work from home reinforcement learning in the United States is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.75 per hour, depending on experience, location, and employer.

What are some common challenges faced by work-from-home professionals in Reinforcement Learning, and how can they be managed?

Work-from-home Reinforcement Learning professionals often face challenges such as limited in-person collaboration, access to high-performance computing resources, and maintaining clear communication with distributed teams. To manage these, it's important to leverage collaboration tools (like Slack or Zoom) for regular check-ins, ensure secure remote access to necessary computational infrastructure, and participate in virtual team meetings to stay aligned on project goals. Proactive communication and self-discipline are key to staying productive and overcoming the isolation that can come with remote work in this field.

What is the difference between Work From Home Reinforcement Learning vs Data Scientist?

AspectWork From Home Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL algorithmsDegree in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, flexible hours, focus on ML model developmentRemote or on-site, data analysis, visualization, and reporting
Industry UsageTech, AI research, autonomous systemsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

Work From Home Reinforcement Learning specialists focus on developing AI models that learn through interactions, often requiring advanced ML skills. Data Scientists analyze data to extract insights, with some overlap in programming and statistical knowledge. While both roles may work remotely and require similar credentials, Reinforcement Learning roles are more specialized in AI model training, whereas Data Scientists focus on data analysis and visualization.

What are the key skills and qualifications needed to thrive as a Work From Home Reinforcement Learning Specialist, and why are they important?

To thrive as a Work From Home Reinforcement Learning Specialist, you need a solid background in machine learning, statistics, programming (especially Python), and a relevant degree such as computer science or engineering. Familiarity with deep learning frameworks (like TensorFlow or PyTorch), cloud computing platforms, and relevant certifications are highly beneficial. Strong problem-solving, self-motivation, and effective remote communication are crucial soft skills for success in a distributed environment. These competencies enable specialists to develop innovative RL solutions, collaborate efficiently with remote teams, and stay productive while working independently.

What are work from home reinforcement learning jobs?

Work from home reinforcement learning jobs involve developing and applying reinforcement learning algorithms while working remotely. Professionals in this field use machine learning techniques where agents learn to make decisions through trial and error to solve complex problems. Typical tasks include designing models, running experiments, analyzing results, and collaborating with teams online. These jobs are common in industries like robotics, finance, gaming, and autonomous systems. Working from home allows for flexible schedules and collaboration with global teams using digital tools.
More about Work From Home Reinforcement Learning jobs
What cities are hiring for Work From Home Reinforcement Learning jobs? Cities with the most Work From Home Reinforcement Learning job openings:
What states have the most Work From Home Reinforcement Learning jobs? States with the most job openings for Work From Home Reinforcement Learning jobs include:
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Work From Home Reinforcement Learning jobs near you

Member of Engineering (Reinforcement Learning)

poolside

Remote

$99K - $136K/yr

Full-time

Medical, PTO

Posted 2 days ago

Key responsibilities

  • Research and experiment on ways to improve reasoning and code generation for large language models, owning the full experiment life cycle from idea to experimentation and integration.

  • Translate research ideas into clean, reusable codebases that other researchers can build on.

  • Design, analyze, and iterate on data generation and training of large language models.

Job description

ABOUT POOLSIDE
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We're in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we've assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
You would be working on our reinforcement learning team focused on improving reasoning and coding abilities of Large Language Models through reinforcement learning. This is a hands-on role where you'll work end-to-end from researching new exploration or training algorithms, to designing and scaling up RL environments, to implementing your ideas across the stack. You will have access to thousands of GPUs in this team.
YOUR MISSION
To push the frontier of reasoning and coding capabilities of foundational models, via Reinforcement Learning.
RESPONSIBILITIES
  • Research and experiment on ways to improve reasoning and code generation for LLMs. Own the full experiment life cycle from idea to experimentation and integration
  • Keep up with the latest research, and be familiar with the state of the art in LLMs, RL, and code generation. Translate research ideas into clean, reusable codebases that other researchers can build on
  • Design, analyze, and iterate on data generation and training of LLMs
  • Implement and iterate on RL training pipelines that scale reliably across domains
  • Diagnose training instabilities and failures, debug RL runs and propose mitigation methods
  • Write high-quality, reproducible and maintainable code
SKILLS & EXPERIENCE
  • Experience with Large Language Models (LLM), including:
    • Understanding of the Transformer architecture and scaling laws
    • Mid-training and post-training techniques
    • Experience training reasoning and/or agentic models
    • Hands-on use of LLMs, with a sense of their capabilities and limitations
  • Reinforcement Learning experience
    • Solid grasp of Reinforcement Learning concepts and familiarity with modern algorithms
    • Experience developing distributed, large-scale RL pipelines from data creation to evaluations
  • Research experience
    • Scientific publications in any of the following topics: Reinforcement Learning, LLMs and reasoning models
    • Ability to discuss the latest research with sufficient level of detail
    • Is reasonably opinionated
  • Engineering skills
    • Strong machine learning, algorithm skills and engineering background
    • Experience with distributed training
    • Excellent programming skills in Python
    • Familiarity with a deep learning framework (Pytorch or JAX)

PROCESS
  • Intro call with one of our Founding Engineers
  • Technical Interview(s) with one of our Founding Engineers
  • Team fit call with the People team
  • Final interview with one of our Founding Engineers
BENEFITS
  • Fully remote work & flexible hours
  • 37 days/year of vacation & holidays
  • Health insurance allowance for you & dependents
  • 16 weeks of flexible, full-pay parental leave
  • Well-being, always-be-learning & home office allowances
  • Company-provided equipment
  • Frequent team get togethers
  • Diverse & inclusive people-first culture

Apply