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Freelance Full Stack Machine Learning Engineer Jobs in Dearborn Heights, MI

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for predicting and/ or ...

FastTek

Machine Learning Engineer

Dearborn, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop within the full machine learning lifecycle; from problem definition to data pipeline design ... stack. * Mentor and guide junior engineers and contribute to the hiring process and technical ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop within the full machine learning lifecycle; from problem definition to data pipeline design ... stack. * Mentor and guide junior engineers and contribute to the hiring process and technical ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for candidates who will be responsible for predicting and ...

Bespoke Labs

Machine Learning Engineer

Detroit, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Domino's Pizza

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives. * Provide technical leadership and mentorship to engineers and data scientists. * Translate business ...

New

Bespoke Labs

Machine Learning Engineer

Warren, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Stefanini is looking for a Full Stack Developer (Dearborn, MI) For quick apply, please reach out to ... Applied machine learning experience encompassing embeddings, classification, clustering, natural ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in Dearborn Heights, MI

Freelance Full Stack Machine Learning Engineer information

See Dearborn Heights, MI salary details

$41K

$124.3K

$175.7K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for freelance full stack machine learning engineer in Dearborn Heights, MI is $124,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Dearborn Heights, MI look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Dearborn Heights, MI are:

Freelance Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer, II - 3D Perception

Torc Robotics

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Machine Learning Engineer II - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc's autonomy stack.
What You'll Do
  • Design, develop, and improve machine learning models supporting Torc's perception systems.
  • Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.
  • Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.
  • Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.
  • Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.
  • Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.
  • Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.
  • Participate in model architecture discussions and contribute technical recommendations within the team.
  • Lead small technical initiatives or model components with guidance from senior engineers.
  • Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.
  • Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 3+ years of relevant industry experience, OR Master's degree with 1+ years of relevant experience, or equivalent practical experience.
  • Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.
  • Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.
  • Experience training, evaluating, and improving deep learning models using large-scale datasets.
  • Experience working with image-based and/or 3D perception systems.
  • Solid understanding of deep learning architectures commonly used for perception applications.
  • Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.
  • Ability to independently execute complex machine learning work within well-defined problem areas.
  • Experience collaborating cross-functionally to integrate machine learning models into larger software systems.
  • Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.

Bonus Points
  • Experience developing perception systems for autonomous driving, robotics, or ADAS.
  • Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.
  • Experience with temporal perception models or video-based learning.
  • Experience with C++, ROS, or robotics software development.
  • Experience deploying machine learning models into production autonomy or robotics platforms.
  • Experience working with large-scale perception datasets and distributed training environments.
  • Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.
  • Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.
  • Experience leading a small technical initiative or owning a production ML component from development through deployment.

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
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 matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • 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.
Job ID: 102882
Hiring Range for Job Opening
US Pay Range
$153,200-$183,800 USD

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