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3D Machine Learning Jobs in Detroit, MI (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

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 · 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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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Detroit, MI

3D Machine Learning information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do 3d machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for 3d machine learning in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

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 Detroit, MI? For 3D Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Detroit, MI look for? The top searched job categories for 3D Machine Learning jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for 3D Machine Learning jobs? Cities near Detroit, MI with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Senior, ML Engineer - Neural Rendering

Senior, ML Engineer - Neural Rendering

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc's data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc's data workflow for training and validation across the complete AV stack.
What You'll Do:
  • 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.

What You'll Need to Succeed:
  • 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.

Bonus Points!
  • 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

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
US Base Pay Range:
$177,300 - $234,000
Job ID: R-102432

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