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Reinforcement Learning Engineer Jobs in Minnesota

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and ... Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and ... Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including ...

RRC Power and Energy

Structural Engineer I

Osseo, MN

... 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 ...

RRC Companies

Structural Engineer I

Osseo, MN · On-site +1

$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 ...

RRC POWER AND ENERGY

Structural Engineer I

Osseo, MN

... 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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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Minnesota

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 Jul 24, 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 are Reinforcement Learning Engineers?

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 job categories do people searching Reinforcement Learning Engineer jobs in Minnesota look for? The top searched job categories for Reinforcement Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Reinforcement Learning Engineer jobs? Cities in Minnesota with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
AI Engineer - Remote / Telecommute

AI Engineer - Remote / Telecommute

Cynet Systems

Minneapolis, MN • On-site

$50 - $55/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

Job description

We are looking for AI Engineer - Remote / Telecommute for our client in Minneapolis, MN.

Job Title: AI Engineer - Remote / Telecommute

Job Location: Minneapolis, MN

Job Type: Contract

Job Overview:

Pay Range $50hr - $55hr

Requirement/Must Have:

  • 3+ years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
  • 2+ years of hands-on experience in developing and deploying AI agents and machine learning models.

Responsibilities:

  • Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry).
  • Build and experiment with GenAI models and agentic workflows.
  • Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.
  • Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.
  • Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.
  • Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.
  • Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.
  • Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.
  • Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.

==

Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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