Machine Learning Engineer
Ann Arbor, MI · On-site
Responsibilities : • Run reinforcement learning experiments in our physically realistic ... engineers. • Train control models, track and interpret their performance, and dig into why a ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Responsibilities : • Run reinforcement learning experiments in our physically realistic ... engineers. • Train control models, track and interpret their performance, and dig into why a ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Our internal platform uses the same reinforcement learning toolkits that power self-driving ... Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale. Share ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Our internal platform uses the same reinforcement learning toolkits that power self-driving ... Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale. Share ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $240K/yr
As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make ... Our internal platform, uses the same reinforcement learning toolkits that power self-driving ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $240K/yr
As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make ... Our internal platform, uses the same reinforcement learning toolkits that power self-driving ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
... reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to ... Staff engineers here still ship. Company : Mariana Minerals develops mineral projects using ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
... reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to ... Staff engineers here still ship. Company : Mariana Minerals develops mineral projects using ...
Senior, Machine Learning Engineer - End-to-End
Ann Arbor, MI · On-site +1
$119K - $158K/yr
As a Senior Machine Learning Engineer - End-to-End (E2E), you will develop and scale learning-based ... Experience with reinforcement learning or imitation learning in real-world systems * Experience ...
Senior, Machine Learning Engineer - End-to-End
Ann Arbor, MI · On-site +1
$119K - $158K/yr
As a Senior Machine Learning Engineer - End-to-End (E2E), you will develop and scale learning-based ... Experience with reinforcement learning or imitation learning in real-world systems * Experience ...
Machine Learning Engineer
Whitehall, MI · On-site
Howmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning to join our ... applying reinforcement learning techniques for real time decision making and control. • ...
Machine Learning Engineer
Whitehall, MI · On-site
Howmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning to join our ... applying reinforcement learning techniques for real time decision making and control. • ...
Theoretical understanding and practical experience applying reinforcement learning techniques for ... engineered solutions for the aerospace and transportation industries. The Company's primary ...
Theoretical understanding and practical experience applying reinforcement learning techniques for ... engineered solutions for the aerospace and transportation industries. The Company's primary ...
Machine Learning Engineer
Whitehall, MI · On-site
Theoretical understanding and practical experience applying reinforcement learning techniques for ... advanced engineered solutions for the aerospace and transportation industries. Our primary ...
Machine Learning Engineer
Whitehall, MI · On-site
Theoretical understanding and practical experience applying reinforcement learning techniques for ... advanced engineered solutions for the aerospace and transportation industries. Our primary ...
Machine Learning Engineer
Whitehall, MI · On-site
Theoretical understanding and practical experience applying reinforcement learning techniques for ... Howmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning to join our ...
Machine Learning Engineer
Whitehall, MI · On-site
Theoretical understanding and practical experience applying reinforcement learning techniques for ... Howmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning to join our ...
AI Control Systems Engineer
Ypsilanti, MI · On-site
The AI Control Systems Engineer would leverage advanced techniques, such as machine learning, reinforcement learning, and model predictive control (MPC), to develop novel solutions that would improve ...
AI Control Systems Engineer
Ypsilanti, MI · On-site
The AI Control Systems Engineer would leverage advanced techniques, such as machine learning, reinforcement learning, and model predictive control (MPC), to develop novel solutions that would improve ...
AI Control Systems Engineer
Superior, MI · On-site
The AI Control Systems Engineer would leverage advanced techniques, such as machine learning, reinforcement learning, and model predictive control (MPC), to develop novel solutions that would improve ...
AI Control Systems Engineer
Superior, MI · On-site
The AI Control Systems Engineer would leverage advanced techniques, such as machine learning, reinforcement learning, and model predictive control (MPC), to develop novel solutions that would improve ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications * Replace conventional rule-based control algorithms and ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications * Replace conventional rule-based control algorithms and ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications * Replace conventional rule-based control algorithms and ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications * Replace conventional rule-based control algorithms and ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications * Replace conventional rule-based control algorithms and ...
Quick apply
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications * Replace conventional rule-based control algorithms and ...
AI Engineer
Dearborn, MI · On-site
... reinforcement learning, virtual assistants and specialized programming. Responsibilities * Understand business requirements and develop AI algorithms, models and programs to solve complex problems ...
AI Engineer
Dearborn, MI · On-site
... reinforcement learning, virtual assistants and specialized programming. Responsibilities * Understand business requirements and develop AI algorithms, models and programs to solve complex problems ...
Senior Machine Learning Engineer (GenAI, LLM, GCP) Only W2//Dearborn, MI
Dearborn, MI · On-site
$96K - $131K/yr
Machine Learning Engineering Senior Engineer//Only W2//Dearborn, MI Dearborn, MI **POSITION IS ... reinforcement learning from human feedback (RLHF), and instruction tuning 5. Deploy ML models, LLMs ...
Quick apply
Senior Machine Learning Engineer (GenAI, LLM, GCP) Only W2//Dearborn, MI
Dearborn, MI · On-site
$96K - $131K/yr
Machine Learning Engineering Senior Engineer//Only W2//Dearborn, MI Dearborn, MI **POSITION IS ... reinforcement learning from human feedback (RLHF), and instruction tuning 5. Deploy ML models, LLMs ...
... reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex ...
Quick apply
... reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex ...
Generative AI Researcher
Warren, MI · On-site
Experience with generative AI (LLMs, diffusion models, generative architectures) Experience with agentic AI systems, reinforcement learning, or autonomous systems Strong programming skills in Python ...
Generative AI Researcher
Warren, MI · On-site
Experience with generative AI (LLMs, diffusion models, generative architectures) Experience with agentic AI systems, reinforcement learning, or autonomous systems Strong programming skills in Python ...
Experience with generative AI (LLMs, diffusion models, generative architectures) Experience with agentic AI systems, reinforcement learning, or autonomous systems Strong programming skills in Python ...
Experience with generative AI (LLMs, diffusion models, generative architectures) Experience with agentic AI systems, reinforcement learning, or autonomous systems Strong programming skills in Python ...
... and reinforcement learning) to address business needs such as churn prediction, recommendation ... Architect and implement robust data pipelines and feature engineering processes to improve model ...
... and reinforcement learning) to address business needs such as churn prediction, recommendation ... Architect and implement robust data pipelines and feature engineering processes to improve model ...
Reinforcement Learning Engineer information
See Michigan salary details
$33.1K - $45.3K
5% of jobs
$45.3K - $57.4K
7% of jobs
$57.4K - $69.6K
9% of jobs
$72.2K is the 25th percentile. Wages below this are outliers.
$69.6K - $81.8K
14% of jobs
The median wage is $92.7K / yr.
$81.8K - $93.9K
16% of jobs
$93.9K - $106.1K
13% of jobs
$106.1K - $118.3K
6% of jobs
$124.7K is the 75th percentile. Wages above this are outliers.
$118.3K - $130.4K
8% of jobs
$130.4K - $142.6K
8% of jobs
$142.6K - $154.7K
7% of jobs
$154.7K - $166.9K
5% of jobs
$33.1K
$101K
$166.9K
How much do reinforcement learning engineer jobs pay per year?
As of Sep 9, 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?
| Aspect | Reinforcement Learning Engineer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, AI, or related; experience with RL frameworks | Bachelor's/Master's in CS, Data Science, or related; experience with ML algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on RL applications | Tech companies, data-driven firms, AI departments across industries |
| Industry Usage | Specialized in RL projects like robotics, game AI, autonomous systems | Broader 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:
- Flexible Remote Machine Learning Engineer
- Junior Machine Learning Engineer
- Entry Level Machine Learning Engineer
- Hourly Remote Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Senior Machine Learning Engineer
- Senior Machine Learning Researcher
- Remote Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Embedded Machine Learning Engineer
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:
- Machine Learning Engineer Two
- Remote Tesla Machine Learning Engineer
- Internship Aws Machine Learning
- Machine Learning Manager
- Reinforcement Learning Engineer Salary
- Freelance Machine Learning
- Contractual Machine Learning Government
- Machine Learning Engineer Associate
- Machine Learning Engineer Opt
- Reinforcement Learning Robotics
What cities in Michigan are hiring for Reinforcement Learning Engineer jobs?
Cities in Michigan with the most Reinforcement Learning Engineer job openings:
Machine Learning Engineer
Ann Arbor, MI • On-site
Mariana Minerals
Full-time
Re-posted 7 hours ago
Job description
Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2024, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2024, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.