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3D Machine Learning Jobs in Michigan (NOW HIRING)

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

... computer vision and machine learning algorithms that power autonomous robots, humanoids, and ... Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

TEAM At Woven by Toyota, we work on some of the most challenging problems in autonomy from 3D ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

TEAM At Woven by Toyota, we work on some of the most challenging problems in autonomy from 3D ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

TEAM At Woven by Toyota, we work on some of the most challenging problems in autonomy from 3D ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

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3D Machine Learning information

What are some common challenges faced by professionals working in 3D machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is 3D machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3D Machine Learning Engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Michigan? For 3D Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Michigan look for? The top searched job categories for 3D Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for 3D Machine Learning jobs? Cities in Michigan with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you

Software Engineer III - Liberty Robotics

LMI Technologies

Dexter, MI • On-site

Full-time

Medical, Dental, Vision, Life

Posted 16 days ago

Job description

At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our systems improve manufacturing, material/part handling, and logistics operations performed in industrial environments. We are looking for highly qualified applicants to join our core Technology Research team. We drive to inspire like-minded individuals who envision a future where manufacturing assembly and material handling processes are faster, safer, and more reliable.
We recently joined LMI Technologies, recognized as one of Canada's Best Workplaces. Together, our teams work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world.
We are seeking an analytical and technically mature Software Engineer III to join our core team. Collaborating in a fast-paced environment alongside dedicated researchers and engineers, you will serve as a high-visibility individual contributor with complete, end-to-end software ownership.
This stable, core role is designed for a self-starting engineer who can seamlessly bridge the gap between high-level mathematical research and production-grade code. In this position, you will be responsible for taking advanced algorithmic concepts out of a clean simulation environment and successfully deploying them onto a loud, unpredictable manufacturing floor.
Typical Duties, Activities, Responsibilities
  • Algorithmic Design & Validation: Formulate, implement, and validate advanced 2D and 3D computer vision pipelines from mathematical first principles.
  • Transitioning Lab to Field: Port, optimize, and deploy production-quality code that interfaces with physical depth sensors, ensuring real-time control loops remain deterministic and lag-free.
  • Strategic R&D Decision Making: Evaluate system architectures to intelligently determine when to leverage classical image processing workflows versus modern deep learning models to eliminate operational latencies.
  • Technical Ownership & Code Quality: Champion software development best practices by leading meticulous peer code reviews, refactoring legacy components, and managing complex multi-codebase integrations.
  • Hands-on Validation: Collaboratively troubleshoot and fine-tune your vision pipelines live on physical hardware and prototype configurations.
Education and Qualifications
  • Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field.
  • Spatial Mathematics: Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations.
  • 3D Perception Stack: 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.
  • 2D Image Processing: Experience with 2D image processing and computer vision methods, including image filtering, feature extraction, segmentation, object detection, image registration, and morphological operations.
  • Software Development: Industry experience developing software, algorithms, or perception systems for real-world applications.
  • Analytical Rigor: Strong analytical and problem-solving skills, with the ability to develop and validate algorithms.
  • Production Coding: Demonstrated ability to write efficient, maintainable, and production-quality software in C++ and/or Python.
  • Field Commitments: Willingness to travel to customer and OEM installation sites (approximately 1 week out of 10) to perform live field validations on active machinery.
  • Professional Tenure: Extensive career background comprising 5 to 10 years of focused technical expertise in 3D perception and image processing stacks.
Preferred Qualifications
  • Advanced Degree: M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field.
  • Domain Expertise: Professional background within the Logistics or Automotive industry.
  • Imaging & Optics: Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies.
  • Mathematical Optimization: Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems.
  • Advanced AI Evaluation: 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.
  • Hardware Acceleration: GPU programming experience (e.g., CUDA, OpenCL, or related frameworks) is a plus.
  • Engineering Best Practices: Familiarity with software development best practices, including version control, testing, code reviews, and continuous integration.
  • Location Priority: Candidates located in, or willing to relocate to, the Ann Arbor, Michigan area are preferred.
Perks and Benefits
  • Location: Fully on-site at our technology hub in the Ann Arbor/Dexter, Michigan area.
  • Environment: A collaborative, innovative, and cubicle-free R&D laboratory designed for engineers who perform at their best under high personal accountability rather than heavy supervision.
  • Compensation: We offer competitive salary + Eligibility for Profit Sharing Program Participation (pending successful completion of probationary period and based on business performance).
  • Health Benefits: Your health and wellness are vital to the success of Liberty Robotics, and our benefit plans provide an important foundation of stability to you and your family. We are proud to provide the following benefits to our employees: Medical and Prescription Drug, Dental, Vision, Basic Life and Accidental Death & Dismemberment (AD&D) Insurance, Short-Term Disability, Long-Term Disability, Employee Assistance Program, Travel Assistance, and Will Prep.
  • Growth & Development: An annual Education Support Program for training and professional growth, plus annual performance reviews.
  • Enjoy free snacks and drinks, team-building events, tenure awards, and our official "May the 4th" (Star Wars Day) company holiday!
  • Please note that financial relocation assistance and immigration sponsorship are not available for this position.
  • We are recognized as a "Great Place to Work" for 10 consecutive years!
Our Recruitment Process
  • While we appreciate your interest in Liberty Robotics and LMI Technologies very much, we may only be able to respond to candidates selected for further consideration.
  • We believe in a transparent and collaborative hiring journey. Our goal is to ensure you are as excited about us as we are about you. Below is the typical path (can vary by position):
    • Talent Discovery (Human Resources): An initial screening call focused on your professional background, language and communication proficiency, and cultural alignment with the team as well as overview of role and company.
    • Technical Assessment!
    • Role Fit (Hiring Manager): A deep dive into your experience, knowledge and skills as well as sharing of role expectations and team initiatives:
      • 1st Round: General background and foundational knowledge in areas such as mathematics, image processing, and programming.
      • 2nd Round: Problem solving skills and ability to apply knowledge to practical challenges.
  • Cultural & Peer Alignment (Hiring Team & Stakeholders): A collaborative session with prospective colleagues and cross-functional partners to explore technical synergy, shared experiences, and the professional landscape at Liberty Robotics.

We assure you, once you complete your application, your information is safe with us. To learn more about how we use your personal data, please review our Privacy Policy (https://lmi3d.com/privacy-policy).

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