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Full Time Reinforcement Learning Jobs (NOW HIRING)

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 ...

Scout AI

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 ...

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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All JobsFull Time Reinforcement Learning Jobs

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 Jun 12, 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 full meaning of full?

In the context of a full-time reinforcement learning job, 'full' refers to a work schedule that typically involves working around 40 hours per week, providing consistent employment and benefits. It indicates a commitment to a standard workweek rather than part-time or temporary roles. The term emphasizes the full scope of employment status in the job description.

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.

What is the meaning of full and fill?

In the context of a full-time reinforcement learning job, 'full' typically refers to working full hours per week, usually around 40 hours, while 'fill' is not directly related to employment terms. The focus is on the role's requirements, such as programming skills and understanding of machine learning algorithms, rather than these terms. If you encounter 'full' or 'fill' in job descriptions, clarify whether they refer to work hours or other specifics.

What is the synonym for full?

In the context of a full-time reinforcement learning role, the word 'full' is often synonymous with 'complete,' 'entire,' or 'whole,' indicating a position that requires working the standard full schedule, typically around 40 hours per week. This term emphasizes the comprehensive nature of the job commitment and responsibilities involved.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $61,692 per year, or $29.7 per hour.
Deep Learning Algorithm Developer

Deep Learning Algorithm Developer

Toyon Research Corporation

Fort Collins, CO • On-site

$100K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required.
This position is in-person.
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation and control solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, NLP, and other application areas including platform control.
Requirements
Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor's degree and at least two years of industry experience are strongly desired.
WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!
  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Deep Learning Algorithm Developer position is $100,000 to $190,000
The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.
Equal Opportunity Employer including Disability and Veterans
Applicant Privacy Notice
Learn more about our company in our latest video, We are Toyon.
The application window for this posting will remain open until the position is filled.
Ref #2545-C

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