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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 16, 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
Perception Machine Learning Algorithm Engineer

Perception Machine Learning Algorithm Engineer

Lucid Motors

Southfield, MI • On-site

$75K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

18th of 44 rated automakers

Job description

Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, were providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
Leading the Future in Luxury Electric and Mobility

At Lucid Motors, we aim to redefine the automotive experience by creating the most

captivating, luxury electric vehicles that elevate human experience and push the

boundaries of space, performance, and intelligence. Our vehicles are designed to be

intuitive, liberating, and engineered for the future of mobility.

We are committed to leading this new era of luxury electric mobility by returning to the

fundamentals of great designwhere every decision we make serves both the individual

and the environment. Free from the constraints of convention, we empower you to define

your own experience.

Join a team of some of the most accomplished minds in the industry. In addition to

competitive salaries, we offer a collaborative environment where innovators can make an

immediate and meaningful impact. If you are passionate about building a better, more

sustainable future, Lucid Motors is the place for you.

We are looking for an experienced Perception Machine Learning Algorithm Engineer to join

our ADAS/Autonomous Driving team. This position requires a highly skilled professional

with a strong background in machine learning, computer vision, and perception

algorithms, as well as solid programming expertise.

As a member of Lucids Perception team, you will research, design, implement, optimize,

and deploy state-of-the-art machine learning models that advance perception algorithms

for autonomous driving. You will conduct literature reviews, develop and modify models to

enhance performance, and contribute to the deployment of these models in production

vehicles.

Role and Responsibilities

Develop and optimize perception algorithms for Level 2/3 autonomous driving

systems using camera and LiDAR data.

Design and implement cutting-edge deep learning algorithms for 2D/3D object

detection, segmentation, tracking, and multi-task learning.

Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust

implementation.

Test, release, and deploy perception algorithms into Lucid production programs.

Support the validation and verification of perception algorithms using prototype and

pre-production vehicles.

Propose innovative software algorithms to enhance future autonomous driving

capabilities.

Required Qualifications

Strong theoretical foundations and expertise in deep learning algorithms, including

object detection, tracking, and segmentation.

Proficient in Python with a focus on clean, efficient, and scalable software

development.

Comfortable working with large codebases and debugging complex machine

learning models.

Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).

Ability to design and construct evaluation pipelines to unit-test ML models under

diverse conditions and environments.

Excellent communication skills and a strong team player.

Bachelors degree in Computer Engineering, Electrical Engineering, Automotive

Engineering, Mechanical Engineering, or a related field.

Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a

senior position.

Advanced degrees are preferred.

Preferred Qualifications

Experience developing BEV transformer models for perception.

Proficiency in C++ with experience writing efficient, maintainable code.

Practical, hands-on approach to solving complex problems in autonomous driving.

Experience in testing and validating perception systems in real-world conditions.

Experience working in agile development teams.

Expertise in component and system integration, testing, and verification at the

system and vehicle levels.

 
 
At Lucid, we dont just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucids equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. 
 

What Lucid Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lucid Motors logo

About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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