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Machine Learning Robotics Jobs in Michigan (NOW HIRING)

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 ...

May Mobility

Robotics Engineer II

Ann Arbor, MI · On-site

Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software * Optimize and ... Required * 2+ years experience with robotics software for physical systems in a commercial ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/yr

Required Qualifications: · Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields. · Master's degree in Engineering, Computer Science, Data Science ...

May Mobility

Robotics Engineer II

Ann Arbor, MI · On-site

Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software * Optimize and ... Required * 2+ years experience with robotics software for physical systems in a commercial ...

Tata Consultancy Services

AI Researcher

Detroit, MI

From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...

Stellantis

Robotics Specialist

Auburn Hills, MI · On-site

... machine operation. Additionally, the scope of this group will span the core functions of Vehicle ... Learning, teaching and sharing engineering information supporting the implementation of Vehicle ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

$132.40K - $158.90K/yr

Development of a runtime environment, which uses the App Engine SDK to deploy machine learning ... Experience in autonomous robotic or vehicle systems. * Knowledge of computer architecture ...

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Machine Learning Robotics information

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$22.2K

$37.1K

$76.7K

How much do machine learning robotics jobs pay per year?

As of May 29, 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 job?

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 the Machine Learning Robotics position, and why are they important?

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.
More about Machine Learning Robotics jobs
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Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in Michigan as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 32% Physical, 1% Hybrid, and 67% Remote job distribution, with an average salary of $37,116 per year, or $17.8 per hour.
Senior, ML Engineer - Neural Rendering

Senior, ML Engineer - Neural Rendering

Torc Robotics

Ann Arbor, MI • On-site

$102.20K - $140.40K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. They are seeking a Senior ML Engineer specializing in Neural Rendering to implement cutting-edge research and develop high-quality sensor simulations for autonomous vehicles.
Responsibilities:
• Implement the latest research advances in Neural Rendering and generative models
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
• Own development projects in the team – From research, design, to implementation, testing and deployment
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.
Qualifications:
Required:
• Proficiency in Python and deep learning frameworks such as PyTorch.
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software.
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.
• Designs, maintains and owns team technical solutions and drives consensus.
• Mentors and guides engineers within the group.
Preferred:
• Experience with autonomous driving or robotics perception in production environments.
• Proficiency with CUDA programming for efficient rendering of large-scale scenes.
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals.
• Experience with MLOps and infrastructure tools (Ray).
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars.
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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