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Full Time Reinforcement Learning Jobs (NOW HIRING)

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 ...

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 ...

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 ...

AI Researcher - Fury Team

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 ...

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 3, 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:
Infographic showing various Full Time Reinforcement Learning job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Temporary. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $61,692 per year, or $29.7 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

CVS Health

New York, NY • On-site

$111K - $222K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,271 frontline employees who took The Breakroom Quiz

78th of 101 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

About the Role

At CVS Health, we're reshaping the future of CRM Marketing through AI-driven optimization and decision-making to better serve millions of customers nationwide. We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases.

Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you'll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows.

If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.

What You'll Do

  • Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including customer targeting, content recommendation, frequency optimization, propensity, uplift and LTV models etc.
  • Implement CICD for ML including automated testing, model versioning, monitoring, and orchestration for models in production
  • Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
  • Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes
  • Provide technical leadership on complex projects. Mentor other engineers and data scientists in best practices, code quality, and scalable architecture. Influence our ML and data roadmap.

What We're Looking For

Must-Have

  • 5+ years of hands-on experience developing machine learning systems in production environment
  • 5+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
  • 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
  • 2+ years of leading design and architecture of new and existing system experience
  • Strong background in one or more of the following: reinforcement learning, causal inference, LLM, MCP
  • Experience as a mentor or tech lead
  • Ability to work and influence cross-functionally with strong communication skills

Preferred

  • Proficiency with full-stack framework (e.g, Node.js, React)
  • Experience with real time scoring using tools like Spark, Kafka, Airflow
  • Solid backend engineering skills in Python, including APIs and data modeling
  • A/B testing and experimentation experience

Education

  • Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience)
  • Master's degree preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 07/19/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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