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Machine Learning Robotics Jobs in Michigan (NOW HIRING)

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

You'll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... machine learning applications, ensuring efficient and safe operations in autonomous trucking ... robotic or vehicle systems. • Knowledge of computer architecture principles such as pipelining ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Machine Learning, Generative AI based solutions for Robotics applications. PHYSICAL DEMANDS / WORK ... ENVIRONMENT: Normal amount of sitting or standing, average mobility to move around an office (Troy ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Machine Learning, Generative AI based solutions for Robotics applications. PHYSICAL DEMANDS / WORK ... ENVIRONMENT: • Normal amount of sitting or standing, average mobility to move around an office ...

Conti-Electric

Robotics Engineer

Sterling Heights, MI · On-site

$70 - $100/hr

... machine vision, and manufacturing solutions for customers across multiple industries. While ... Strong aptitude for learning new technologies and asking thoughtful questions to solve problems ...

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Machine Learning Robotics information

See Michigan salary details

$22.2K

$37.1K

$76.7K

How much do machine learning robotics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning robotics in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

What is a machine learning robotics?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the key skills and qualifications needed to thrive in machine learning robotics?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in machine learning robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.

What are the most commonly searched types of Machine Learning Robotics jobs in Michigan?

The most popular types of Machine Learning Robotics jobs in Michigan are:

What are popular job titles related to Machine Learning Robotics jobs in Michigan?

For Machine Learning Robotics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Machine Learning Robotics jobs in Michigan look for?

The top searched job categories for Machine Learning Robotics jobs in Michigan are:

Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,116 per year, or $17.8 per hour.

Senior Data Scientist - Metrics

May Mobility

Ann Arbor, MI • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. The Senior Data Scientist will shape how the company evaluates autonomous vehicle performance, uncover system vulnerabilities, and ensure safety and passenger experience standards are met.
Responsibilities:
• Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data.
• Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors.
• Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.
• Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows.
• Communicate insights and recommendations to engineering leaders and cross-functional teams.
Qualifications:
Required:
• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
• 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems.
• 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis.
• Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems.
• Hands-on experience working with real-world driving logs and/or simulation data.
Preferred:
• Background in motion planning, behavior prediction, or multi-agent interaction modeling.
• Experience designing metric-driven development, KPIs, and automated triaging pipelines.
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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