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Machine Learning Robotics Jobs in Michigan (NOW HIRING)

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

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 ...

Wayve

Register your interest for Wayve in Germany

Detroit, MI · On-site

$10.25 - $12.75/hr

... Machine Learning Engineer, Emergency Trajectory Models Sunnyvale, California USA Staff Robotics Engineer Sunnyvale, California USA London, United Kingdom Commercial & Operations Data Engineer ...

StrategiQly

Robotics Instructor

Rochester Hills, MI · On-site

$40/hr

Robots, simulators, and machine tools * Deliver engaging classroom and hands-on technical instruction. * Evaluate student progress and ensure learning objectives are met. Curriculum Development ...

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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 Sep 9, 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.

AI Researcher

Detroit, MI • On-site

Tata Consultancy Services
See more jobs at Tata Consultancy Servicesexternal

Full-time

Re-posted 20 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 226 rated it services

Job description

About the Role

As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you’ll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This role is designed for bright, curious, and self-driven graduates who aspire to build the next generation of intelligent robotic systems - capable of seeing, reasoning, and acting autonomously in the physical world.

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power autonomous robots, humanoids, and intelligent machines. 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, and human–machine collaboration and want to shape how intelligent systems interact with the world - this is your launchpad.

Key Responsibilities

AI Research & Experimentation

  • Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems.
  • Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction, and sensor fusion.
  • Contribute to building perception pipelines for autonomous mobile robots (AMRs), humanoids, and collaborative robotic systems.

Development & Implementation

  • Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
  • Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.
  • Implement algorithms for navigation, path planning, and control integration.

Collaboration & Innovation

  • Partner with cross-functional teams in AI, robotics, and systems engineering to co-create innovative prototypes.
  • Participate in TCS research initiatives, innovation challenges, and client-facing proof-of-concept demonstrations.
  • Contribute to whitepapers, patents, and internal publications advancing TCS’s thought leadership in AI and robotics.

Continuous Learning & Experimentation

  • Stay current with advances in AI, robotics, and multimodal learning from academia and industry.
  • Experiment with new architectures (e.g., Vision Transformers, Diffusion Models, Agentic AI frameworks).
  • Test and benchmark algorithms on physical robot platforms and simulation environments (e.g., Gazebo, Isaac Sim).

Required Qualifications & Skills

Educational Background:

  • Master’s or Ph. D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a recognized institution.
  • Strong academic foundation in machine learning, image processing, linear algebra, and probability.

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