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Reinforcement Learning Engineer Jobs in Michigan

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

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

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

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self ... ML engineers own the features and models built on top of it. The training and monitoring layer is ...

Senior Simulation Vehicle Modeling Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves ... Partner with autonomy engineering teams to capture and implement vehicle model requirements that ...

Senior Simulation Vehicle Modeling Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves ... Partner with autonomy engineering teams to capture and implement vehicle model requirements that ...

Senior Simulation Vehicle Modeling Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves ... Partner with autonomy engineering teams to capture and implement vehicle model requirements that ...

The resource also provides technical oversight to developers in the team that support other ... reinforcement learning. * Experience with OCR (Optical Character Recognition) Tesseract, Google ...

Showing results 41-60

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 Aug 19, 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 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 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 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 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 cities in Michigan are hiring for Reinforcement Learning Engineer jobs?

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

Infographic showing various Reinforcement Learning Engineer job openings in Michigan as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $100,987 per year, or $48.6 per hour.

Vehicle Safety Technical Lead for Advanced Analytics (GPSSC)

General Motors

Warren, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,288 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

The Product Safety Data Analytics team is seeking a technical leader with an extensive hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning.

This technical leader role requires extensive programming and statistical techniques to both solve complex problems and provide guidance to a team of data scientists that are focused on AI/ML. Additionally, this position is working with telematics data to implement the "Voice of the Vehicle" into our technical solutions

If you're passionate about driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.


As a AI/ML Technical Lead, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, lead ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions as well as providing technical expertise and guidance to a team of Data Scientists.

What You'll Do

  • Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient

  • Train new machine learning models to solve complex business problems.

  • Prototype new AI solutions, including Generative AI, to solve business problems.

  • Develop new Agentic AI solutions to streamline business process

  • Use telematics data in AI/ML solutions to give an early and more complete view of potential safety issues

  • Build new and maintain existing data pipelines

  • Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.

  • Build statistical models that depict company-wide trends.

  • Perform testing and validation of data sets.

  • Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes.

  • Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

  • 7+ years of experience in machine learning, engineering, data science, or a related field

  • Looking for Extensive Experience in the flowing:

    • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

    • Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

    • Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering

    • Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )

    • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

    • Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

  • Proven track record providing technical leadership in AI/ML

  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment

  • Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

  • Experience analyzing vehicle data such as diagnostic and/or time series data

  • Working understanding of GM's Vehicle Data Ecosystem

  • Working understanding of vehicle systems such as propulsion, braking, steering, etc.

  • Deep knowledge of GM's Data Ecosystem

  • Deep knowledge of GM's Cloud Technology Stack for Data Science

  • Deep knowledge of Global Product Safety's SFI Process

  • Masters Degree in Computer Science, Engineering, Mathematics or related field

  • Extensive NLP solutions from business problem statement to deployment and ongoing optimization

  • Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value

  • Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value

  • Experience leading a team of data scientists to exceed customer expectations

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

  • The salary range for this role is $185,100 - $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908