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Reinforcement Learning Engineer Jobs in Minnesota

... learning the skills necessary to carry out successful projects. * Review project-related design ... Must have the ability to walk on and inspect structural reinforcement. BENEFITS RRC is committed to ...

Structural Engineer I

Osseo, MN ยท On-site

$70K - $75K/yr

... learning the skills necessary to carry out successful projects. * Review project-related design ... Must have the ability to walk on and inspect structural reinforcement. BENEFITS RRC is committed to ...

... learning the skills necessary to carry out successful projects. * Review project-related design ... Must have the ability to walk on and inspect structural reinforcement. BENEFITS RRC is committed to ...

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Reinforcement Learning Engineer information

See Minnesota salary details

$37.2K

$113.5K

$187.6K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for reinforcement learning engineer in Minnesota is $113,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $148,400.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

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

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Minnesota?

For Reinforcement Learning Engineer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Reinforcement Learning Engineer jobs?

Cities in Minnesota with the most Reinforcement Learning Engineer job openings:

Research Pro 5-Preclinical Research - Department of Neuroscience

University of Minnesota

Minneapolis, MN โ€ข On-site

$73K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 22 days ago


Job description

About the Job
 

Applicants are invited to apply for a Researcher 5 position in the Ebner Laboratory. The Ebner lab investigates how the cerebellum and cerebral cortex contribute to behaviors that range from simple motor tasks to more complex tasks, such as spatial navigation and cognitive flexibility. During these behaviors, we use optical imaging tools to record neural activity as well as advanced electrophysiology recordings. The analysis of the behavioral and neural data uses a spectrum of state-of-the art analyses and statistical approaches. Researchers will have the opportunity to present and publish the outcome of their work, participate in grant writing, as well as take a leadership role within the lab. 
75%  Design, Plan, and Implement Complex Neuro-behavioral Experiments
Support ongoing projects in the laboratory by conducting investigations into the role of the cerebellum in reinforcement learning and cognitive flexibility.
Use a combination of optical imaging, optogenetics in these projects.
Lead the development of high-density electrophysiology recordings to the project. 
Analyze and interpret the experimental results using advanced computational and statistical approaches. 
Present the results at lab meetings and national/international scientific meetings.
Prepare manuscripts for publication and assist with grant writing. 
Remain current on technological and scientific developments in the field and their potential uses in the lab.
Spur new research directions and new projects as the project evolves.
25%  Support for Lab Operations
Help with overseeing other research staff and students working on the individuals main projects, including training in experimental techniques and data processing.
Advise other researchers and projects in the laboratory by helping troubleshoot technical or analysis problems, and in reviewing their manuscripts, presentations, and grant applications.
Assist in writing grants and grant reports. 
Guide researchers outside of the lab interested in learning and/or using our techniques or analyses.

Qualifications
 

Required Qualifications
Advanced degree (PhD) in the neurosciences or closely related field(s) with at least two years of postdoctoral training.
Experience carrying out complex, long-term neuroscience-related research projects.
Experience training mice in behavioral paradigms and recording neural activity during behaviors.
Demonstrated publication record in the neurosciences.
Preferred Qualifications
Experience with optical imaging of neural activity using calcium imaging and/or high-density electrophysiology in behaving mice.
Experience with reinforcement learning behaviors and models, including designing experimental behavior paradigms.
Experience with optogenetic techniques to manipulate neurons in behaving mice.
Effective oral skills and some experience writing grants.
The ability to carry out experiments independently, including troubleshooting, optimization and reporting results.

About the Department
 

Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology.

The Department of Neuroscience is committed to providing excellence in research, education, and public service. The Department of Neuroscience is part of the University of Minnesota's Medical School.

Pay and Benefits
 

Pay Range: $73,164; depending on education/qualifications/experience 

Time Appointment: 100% Appointment

Position Type: Faculty and P&A Staff 

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services 
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the
time, the initial pay may not reach the maximum of the range. This approach ensures
that compensation reflects the value and unique contributions of each candidate while
maintaining equity within our organization. As part of our commitment to fair and
equitable compensation, please be aware that the salary offered to incoming candidates
will be based on their individual credentials and experience.

How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.