... machine learning and deep learning techniques, including CNNs, Transformers, foundation models, multimodal learning, pre-training, fine-tuning, and model deployment, paired with the ability to ...
New
... machine learning and deep learning techniques, including CNNs, Transformers, foundation models, multimodal learning, pre-training, fine-tuning, and model deployment, paired with the ability to ...
New
At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our ... Knowledge of machine learning and deep learning techniques, including CNNs, Transformers ...
New
Quick apply
At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our ... Knowledge of machine learning and deep learning techniques, including CNNs, Transformers ...
New
At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our ... Knowledge of machine learning and deep learning techniques, including CNNs, Transformers ...
New
At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our ... Knowledge of machine learning and deep learning techniques, including CNNs, Transformers ...
New
... Engine SDK to deploy machine learning based virtual driver applications. • SDK Feature ... robotic or vehicle systems. • Knowledge of computer architecture principles such as pipelining ...
... Engine SDK to deploy machine learning based virtual driver applications. • SDK Feature ... robotic or vehicle systems. • Knowledge of computer architecture principles such as pipelining ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
Senior, ML Engineer - Offline Perception
Ann Arbor, MI · On-site
$102K - $140K/yr
Torc Robotics is a leader in autonomous driving technology, focused on developing software for ... machine learning models, their deployment, and associated processes. • Provides technical ...
Senior, ML Engineer - Offline Perception
Ann Arbor, MI · On-site
$102K - $140K/yr
Torc Robotics is a leader in autonomous driving technology, focused on developing software for ... machine learning models, their deployment, and associated processes. • Provides technical ...
Senior, ML Engineer - Offline Perception
$107K - $146K/yr
Torc Robotics is a leader in autonomous driving technology focused on developing software for ... machine learning models, their deployment, and associated processes. • Provides technical ...
Senior, ML Engineer - Offline Perception
$107K - $146K/yr
Torc Robotics is a leader in autonomous driving technology focused on developing software for ... machine learning models, their deployment, and associated processes. • Provides technical ...
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 ...
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 ...
Senior Robotics Data Engineer - Only W2
Warren, MI · On-site
$99K - $135K/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 ...
Quick apply
Senior Robotics Data Engineer - Only W2
Warren, MI · On-site
$99K - $135K/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 ...
Senior Robotics Data Collection Engineer - Only W2
Warren, MI · On-site
$99K - $135K/yr
Senior Robotics Data Collection Engineer Location: Warren, MI (Onsite from Day 1) Job Type: W2 ... machine learning, AI, or data annotation concepts. · Experience in automotive or manufacturing ...
Quick apply
Senior Robotics Data Collection Engineer - Only W2
Warren, MI · On-site
$99K - $135K/yr
Senior Robotics Data Collection Engineer Location: Warren, MI (Onsite from Day 1) Job Type: W2 ... machine learning, AI, or data annotation concepts. · Experience in automotive or manufacturing ...
Conduct applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data ... Learning and development is critical to us, which is why we have a self-directed learning budget
Conduct applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data ... Learning and development is critical to us, which is why we have a self-directed learning budget
Senior, ML Engineer - Neural Rendering
Ann Arbor, MI · On-site +1
Work in the cloud machine learning ecosystem alongside other machine learning services existing in ... PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical ...
Senior, ML Engineer - Neural Rendering
Ann Arbor, MI · On-site +1
Work in the cloud machine learning ecosystem alongside other machine learning services existing in ... PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical ...
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 ...
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 ...
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 ...
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 ...
Software Engineer II - Localization
Ann Arbor, MI · On-site
$95K - $130K/yr
Support the development and integration of computer vision and machine learning-based components ... Bachelor's degree in Computer Science, Computer Engineering, Robotics, Aerospace Engineering ...
Software Engineer II - Localization
Ann Arbor, MI · On-site
$95K - $130K/yr
Support the development and integration of computer vision and machine learning-based components ... Bachelor's degree in Computer Science, Computer Engineering, Robotics, Aerospace Engineering ...
Software Engineer II - Localization
$95K - $130K/yr
Support the development and integration of computer vision and machine learning-based components ... Bachelor's degree in Computer Science, Computer Engineering, Robotics, Aerospace Engineering ...
Software Engineer II - Localization
$95K - $130K/yr
Support the development and integration of computer vision and machine learning-based components ... Bachelor's degree in Computer Science, Computer Engineering, Robotics, Aerospace Engineering ...
Senior, ML Engineer - Offline Perception
Ann Arbor, MI · On-site +1
$102K - $140K/yr
Develop guidelines and standards for analytics and machine learning models, their deployment, and ... Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field ...
Senior, ML Engineer - Offline Perception
Ann Arbor, MI · On-site +1
$102K - $140K/yr
Develop guidelines and standards for analytics and machine learning models, their deployment, and ... Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field ...
Torc Robotics is a leader in autonomous driving technology, focused on developing software for ... Contribute to integration of machine learning techniques where appropriate (e.g., route-rerouting ...
Torc Robotics is a leader in autonomous driving technology, focused on developing software for ... Contribute to integration of machine learning techniques where appropriate (e.g., route-rerouting ...
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 ...
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 ...
Machine Learning Robotics information
See Michigan salary details
$22.2K - $27.2K
5% of jobs
$28.8K is the 25th percentile. Wages below this are outliers.
$27.2K - $32.1K
59% of jobs
$32.1K - $37.1K
9% of jobs
$37.5K is the 75th percentile. Wages above this are outliers.
$37.1K - $42K
17% of jobs
$42K - $47K
4% of jobs
$47K - $51.9K
2% of jobs
$51.9K - $56.9K
3% of jobs
$56.9K - $61.8K
0% of jobs
$61.8K - $66.8K
0% of jobs
$66.8K - $71.7K
0% of jobs
$71.7K - $76.7K
0% of jobs
$22.2K
$37.1K
$76.7K
How much do machine learning robotics jobs pay per year?
As of Jul 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 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.
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 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:
- Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Entry Level Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Senior Machine Learning Researcher
- Deep Learning Engineer
- Machine Learning Engineer
- Internship No Experience Robotics Engineer
- Machine Learning Software Engineer
- Remote Machine Learning Engineer
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:
Full-time
Posted 3 days ago
New
Job description
Job Summary:
Liberty Robotics is a part of LMI Technologies, providing innovative 3D volumetric vision guidance systems for industrial applications. They are seeking an experienced Software Engineer III to take ownership of software development, focusing on deploying advanced algorithms in real-world manufacturing environments.
Responsibilities:
• Formulate, implement, and validate advanced 2D and 3D computer vision pipelines from mathematical first principles.
• Port, optimize, and deploy production-quality code that interfaces with physical depth sensors, ensuring real-time control loops remain deterministic and lag-free.
• Evaluate system architectures to intelligently determine when to leverage classical image processing workflows versus modern deep learning models to eliminate operational latencies.
• Champion software development best practices by leading meticulous peer code reviews, refactoring legacy components, and managing complex multi-codebase integrations.
• Collaboratively troubleshoot and fine-tune your vision pipelines live on physical hardware and prototype configurations.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field.
• Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations.
• Hands-on experience with 3D computer vision and perception algorithms, including point cloud processing, 3D registration, pose estimation, object detection, object fitting, reconstruction, and related techniques.
• Experience with 2D image processing and computer vision methods, including image filtering, feature extraction, segmentation, object detection, image registration, and morphological operations.
• Industry experience developing software, algorithms, or perception systems for real-world applications.
• Strong analytical and problem-solving skills, with the ability to develop and validate algorithms.
• Demonstrated ability to write efficient, maintainable, and production-quality software in C++ and/or Python.
• Willingness to travel to customer and OEM installation sites (approximately 1 week out of 10) to perform live field validations on active machinery.
• Extensive career background comprising 5 to 10 years of focused technical expertise in 3D perception and image processing stacks.
Preferred:
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field.
• Professional background within the Logistics or Automotive industry.
• Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies.
• Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems.
• Knowledge of machine learning and deep learning techniques, including CNNs, Transformers, foundation models, multimodal learning, pre-training, fine-tuning, and model deployment, paired with the ability to evaluate the strengths and limitations of modern AI approaches.
• GPU programming experience (e.g., CUDA, OpenCL, or related frameworks) is a plus.
• Familiarity with software development best practices, including version control, testing, code reviews, and continuous integration.
• Candidates located in, or willing to relocate to, the Ann Arbor, Michigan area are preferred.
Company:
Lmi Technologies is a industrial automation industrial company located in Burnaby. Founded in 1998, the company is headquartered in Burnaby, CAN, with a team of 201-500 employees. The company is currently Growth Stage.
Liberty Robotics is a part of LMI Technologies, providing innovative 3D volumetric vision guidance systems for industrial applications. They are seeking an experienced Software Engineer III to take ownership of software development, focusing on deploying advanced algorithms in real-world manufacturing environments.
Responsibilities:
• Formulate, implement, and validate advanced 2D and 3D computer vision pipelines from mathematical first principles.
• Port, optimize, and deploy production-quality code that interfaces with physical depth sensors, ensuring real-time control loops remain deterministic and lag-free.
• Evaluate system architectures to intelligently determine when to leverage classical image processing workflows versus modern deep learning models to eliminate operational latencies.
• Champion software development best practices by leading meticulous peer code reviews, refactoring legacy components, and managing complex multi-codebase integrations.
• Collaboratively troubleshoot and fine-tune your vision pipelines live on physical hardware and prototype configurations.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field.
• Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations.
• Hands-on experience with 3D computer vision and perception algorithms, including point cloud processing, 3D registration, pose estimation, object detection, object fitting, reconstruction, and related techniques.
• Experience with 2D image processing and computer vision methods, including image filtering, feature extraction, segmentation, object detection, image registration, and morphological operations.
• Industry experience developing software, algorithms, or perception systems for real-world applications.
• Strong analytical and problem-solving skills, with the ability to develop and validate algorithms.
• Demonstrated ability to write efficient, maintainable, and production-quality software in C++ and/or Python.
• Willingness to travel to customer and OEM installation sites (approximately 1 week out of 10) to perform live field validations on active machinery.
• Extensive career background comprising 5 to 10 years of focused technical expertise in 3D perception and image processing stacks.
Preferred:
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field.
• Professional background within the Logistics or Automotive industry.
• Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies.
• Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems.
• Knowledge of machine learning and deep learning techniques, including CNNs, Transformers, foundation models, multimodal learning, pre-training, fine-tuning, and model deployment, paired with the ability to evaluate the strengths and limitations of modern AI approaches.
• GPU programming experience (e.g., CUDA, OpenCL, or related frameworks) is a plus.
• Familiarity with software development best practices, including version control, testing, code reviews, and continuous integration.
• Candidates located in, or willing to relocate to, the Ann Arbor, Michigan area are preferred.
Company:
Lmi Technologies is a industrial automation industrial company located in Burnaby. Founded in 1998, the company is headquartered in Burnaby, CAN, with a team of 201-500 employees. The company is currently Growth Stage.