... deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Quick apply
... deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Quick apply
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...
Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...
Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...
Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...
Research Scientist - Reinforcement Learning
Sunnyvale, CA · On-site
$150K - $450K/yr
... deep learning, driving impactful discoveries that inspire the next generation of AIpioneers ... Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Research Scientist - Reinforcement Learning
Sunnyvale, CA · On-site
$150K - $450K/yr
... deep learning, driving impactful discoveries that inspire the next generation of AIpioneers ... Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Machine Learning Scientist, Reinforcement Learning
Emeryville, CA · On-site +1
$200K - $330K/yr
Founded in 2022, we develop deep generative models to design and validate novel, functional ... Design and develop state-of-the-art online and offline reinforcement learning algorithms for ...
Machine Learning Scientist, Reinforcement Learning
Emeryville, CA · On-site +1
$200K - $330K/yr
Founded in 2022, we develop deep generative models to design and validate novel, functional ... Design and develop state-of-the-art online and offline reinforcement learning algorithms for ...
Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...
Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...
Reinforcement Learning Engineer
New York, NY · On-site
$87K - $118K/yr
Reinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation ... A deep-dive assessment into RL architecture, simulation frameworks, and live production experience.
Quick apply
Reinforcement Learning Engineer
New York, NY · On-site
$87K - $118K/yr
Reinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation ... A deep-dive assessment into RL architecture, simulation frameworks, and live production experience.
Reinforcement Learning Engineer
$87K - $118K/yr
Reinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation ... A deep-dive assessment into RL architecture, simulation frameworks, and live production experience.
Reinforcement Learning Engineer
$87K - $118K/yr
Reinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation ... A deep-dive assessment into RL architecture, simulation frameworks, and live production experience.
Staff, ML Research Scientist
$154K - $192K/yr
Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning. * Knowledge of ...
Staff, ML Research Scientist
$154K - $192K/yr
Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning. * Knowledge of ...
Member of Engineering (Reinforcement Learning)
$99K - $136K/yr
What unites us is our deep care for what we build together. We're in a race that requires hard work ... ABOUT THE ROLE You would be working on our reinforcement learning team focused on improving ...
Member of Engineering (Reinforcement Learning)
$99K - $136K/yr
What unites us is our deep care for what we build together. We're in a race that requires hard work ... ABOUT THE ROLE You would be working on our reinforcement learning team focused on improving ...
Proficiency in Python and deep learning frameworks such as PyTorch * Experience with large-scale ... Publication record in reinforcement learning, machine learning, or robotics The pay offered for ...
Proficiency in Python and deep learning frameworks such as PyTorch * Experience with large-scale ... Publication record in reinforcement learning, machine learning, or robotics The pay offered for ...
Staff, ML Research Scientist
Waltham, MA · On-site
$154K - $192K/yr
Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning. * Knowledge of ...
Staff, ML Research Scientist
Waltham, MA · On-site
$154K - $192K/yr
Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning. * Knowledge of ...
Research Engineer, Machine Learning (Reinforcement Learning)
San Francisco, CA · On-site
$500K - $850K/yr
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Research Engineer, Machine Learning (Reinforcement Learning)
San Francisco, CA · On-site
$500K - $850K/yr
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Proficiency in Python and deep learning frameworks such as PyTorch * Experience with large-scale ... Publication record in reinforcement learning, machine learning, or robotics The pay offered for ...
Proficiency in Python and deep learning frameworks such as PyTorch * Experience with large-scale ... Publication record in reinforcement learning, machine learning, or robotics The pay offered for ...
Reinforcement Learning Engineer
New York, NY · On-site
$87K - $118K/yr
Reinforcement Learning (RL) Engineer Location: New York (Office) On-site Full-time Compensation ... A deep-dive assessment into RL architecture, simulation frameworks, and live production experience.
Reinforcement Learning Engineer
New York, NY · On-site
$87K - $118K/yr
Reinforcement Learning (RL) Engineer Location: New York (Office) On-site Full-time Compensation ... A deep-dive assessment into RL architecture, simulation frameworks, and live production experience.
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Freelance Deep Reinforcement Learning information
See salary details
$23.52 is the 25th percentile. Wages below this are outliers.
$14.90 - $25.57
31% of jobs
The median wage is $32.14 / hr.
$25.57 - $36.23
31% of jobs
$36.23 - $46.90
4% of jobs
$56.23 is the 75th percentile. Wages above this are outliers.
$46.90 - $57.56
10% of jobs
$57.56 - $68.23
9% of jobs
$68.23 - $78.89
5% of jobs
$78.89 - $89.55
0% of jobs
$89.55 - $100.22
8% of jobs
$100.22 - $110.88
0% of jobs
$110.88 - $121.55
0% of jobs
$121.55 - $132.21
1% of jobs
$14
$47
$132
How much do freelance deep reinforcement learning jobs pay per hour?
As of Jun 22, 2026, the average hourly pay for freelance deep reinforcement learning in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
More about Freelance Deep Reinforcement Learning jobs
What cities are hiring for Freelance Deep Reinforcement Learning jobs? Cities with the most Freelance Deep Reinforcement Learning job openings:
What are the most commonly searched types of Deep Reinforcement Learning jobs? The most popular types of Deep Reinforcement Learning jobs are:
What states have the most Freelance Deep Reinforcement Learning jobs? States with the most job openings for Freelance Deep Reinforcement Learning jobs include:
What job categories do people searching Freelance Deep Reinforcement Learning jobs look for? The top searched job categories for Freelance Deep Reinforcement Learning jobs are:
Full-time
Posted 8 days ago
Be an early applicant
Job description
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
Position Summary
As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations.
Key Responsibilities
- Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment.
- Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models.
- Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code.
- Contribute to technical reports and research publications.
- Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
- Proactively engage with the open-source community.
- Contribute to large-scale reinforcement learning training and inference frameworks.
- Facilitate internal and external collaboration
Academic Qualifications
- MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields.
Professional Experience
Minimum
- 3+ years of hands-on experience with reinforcement learning
- Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement.
- Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
- Strong Python development skills with a focus on research-grade code and scalable data pipelines.
- Practical experience implementing complex mathematical concepts into reliable, well-documented code.
- Experience applying novel RL algorithms to practical applications.
- Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations.
- Strong communication and collaboration skills for effective cross-functional work.
Preferred Qualifications
- Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc.
- Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.
- Familiarity with current RL+LLM training libraries
- Experience training policies in self-play, possibly demonstrated by publication, blog post, public code.
- Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code.
- Strong publication record in leading AI and RL venues (e.g.ICLR, ICML, NeurIPS, RLC, JMLR, TMLR)
- Familiarity with performance constraints in production environments and the trade-offs in model design and execution.
- Prior contributions to open-source ML research or data tools.
- Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures).
Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability