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Reinforcement Learning Engineer Jobs in Michigan

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

... automation, reinforcement learning, virtual assistants and specialized programming * Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more ...

Apex Systems

AI/ML Engineer

Dearborn, MI · On-site

$105K - $126K/yr

AI/ML Engineer Location: Hybrid - 4 days/week onsite in SE MI Duration: Long-term contract Job ... reinforcement learning, intelligent process automation, and virtual assistants. Key ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Kla

Senior AI Ops Engineer

Ann Arbor, MI

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a systems-minded engineer who loves turning research workflows into reliable production-grade pipelines ...

KLA Corporation

Senior AI Ops Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a systems-minded engineer who loves turning research workflows into reliable production-grade pipelines ...

Orbotech

Senior AI Ops Engineer

Ann Arbor, MI

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a systems-minded engineer who loves turning research workflows into reliable production-grade pipelines ...

KLA Corporation

Senior AI Ops Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a systems-minded engineer who loves turning research workflows into reliable production-grade pipelines ...

Kla

Senior AI Ops Engineer

Ann Arbor, MI

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a systems-minded engineer who loves turning research workflows into reliable production-grade pipelines ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

... learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering * Data Engineering : Databricks, Hadoop, SQL, Data Pipelines, Data ...

Orbotech

Senior AI Ops Engineer

Ann Arbor, MI

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a systems-minded engineer who loves turning research workflows into reliable production-grade pipelines ...

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Michigan

Reinforcement Learning Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do reinforcement learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for reinforcement learning engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 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 Michigan? For Reinforcement Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Michigan look for? The top searched job categories for Reinforcement Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Reinforcement Learning Engineer jobs? Cities in Michigan with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $100,987 per year, or $48.6 per hour.
Contract Engineer, Advanced Engineering & Research

Contract Engineer, Advanced Engineering & Research

Isuzu Motors America LLC

Plymouth, MI • On-site

$44 - $48/hr

Other

Posted 17 days ago

Job description

Isuzu Technical Center of America is seeking a Contract Engineer, Advanced Engineering & Research to join its operations in Plymouth, MI. The selected candidate will be placed with a preferred agency for employment.
JOB SUMMARY
Supports verification and validation of Level 4 autonomous driving technologies and robotic systems using state-of-the-art approaches and methodologies such as generative AI, vision-language-action mdoels and world models. Works closely with Isuzu US and Japan teams, well-known external autonomous driving partner companies, and reputed research institutes on the validation and deployment of autonomous systems. Works at the intersection of vehicle engineering and cutting-edge autonomous technology within a collaborative and passionate environment. Works with direction from manager and guidance from more senior staff.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Collaborates with global ISUZU teams and research parternership to deploy generative AI and state-of-the-art methods to validate L4 autonomous driving technologies and robotic systems.
20%
2.
Analyzes open source and on-road driving data and use data driven insights to enhance simulations.
20%
3.
Supports simulation of edge case scenarios to test and validate AV systems.
20%
4.
Participates in cross-functional discussions and contributes ideas toward improving safety and reliability of AV systems.
10%
5.
Prepares and communicates findings and technical updates to internal and external research teams across the U.S. and Japan.
6.
Performs miscellaneous job-related duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING
  • Master's degree in Computer Science, Electrical Engineering, Robotics, Data Science or related field
  • Minimum one (1) year of prior internship or project experience in AI, VLM, world models, data analysis, programming, or automotive systems

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, or simulation
  • Basic knowledge of autonomous driving or vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical and problem-solving skills
  • Strong in Python, C++, or Java
  • Proficient with simulation and machine learning / reinforcement learning tools
  • Effective communication and interpersonal skills
  • Ability to work independently and collaboratively within a team

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.
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