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Ml Engineer Jobs in Michigan (NOW HIRING)

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

The Role As an ML Engineer within the Application Engineering team, you'll lead critical initiatives that push the frontier of model-based autonomous driving-both in terms of core driving performance ...

Apex Systems

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description: This role focuses on building and scaling enterprise-grade ML Ops and data engineering solutions to ...

General Motors

Senior ML Compiler Engineer

Warren, MI · On-site

$98K - $134K/yr

You'llbe a key contributor to a pipeline andtooling that makesthat path fast, reliable, andeffortlessfor ML engineers across the AV organizationto compile their models. You willwork on an evolvinga ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together. Qualifications : Required : • 4+ years in data engineering or a ...

Kla

Software Engineering Manager-AI/ML

Ann Arbor, MI · On-site

Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI initiatives. * Set clear goals, expectations, and success metrics; conduct regular 1:1s, performance ...

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Ml Engineer information

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How much do ml engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ml engineer in Michigan is $77,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $95,000.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Michigan?

The most popular types of Ml Engineer jobs in Michigan are:

What are popular job titles related to Ml Engineer jobs in Michigan?

For Ml Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Michigan look for?

The top searched job categories for Ml Engineer jobs in Michigan are:

What cities in Michigan are hiring for Ml Engineer jobs?

Cities in Michigan with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $77,732 per year, or $37.4 per hour.

Staff, ML Engineer - Scene Generation

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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 is marching towards its AV 3.0 strategy. The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc's data-driven simulator. High-quality data from novel scenarios closes 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, contributing to Torc's data workflow for training and validation across the complete AV stack. As Staff ML Engineer, you will lead this team, setting its technical direction and day-to-day priorities.
What You'll Do
  • Serve as the team's technical lead, owning key design decisions and driving consensus across engineers and stakeholders.
  • Set and own the technical vision and roadmap for the Scene Generation team's Neural Rendering and generative modeling work, aligned to Torc's AV 3.0 strategy.
  • Lead the Scene Generation team day to day, prioritizing work, unblocking engineers, and making the final call on architecture and technical approach.
  • Implement and guide the team in applying the latest research advances in Neural Rendering and generative models.
  • Translate cutting edge research into production quality Camera, LiDAR, and Radar sensor simulation that scales perception simulation and AV 3.0 training.
  • Own the neural rendering framework end to end, from research, design, and implementation through testing, cloud integration, and deployment.
  • Understand the integration of the framework in a cloud environment and automate the pipeline to scale target verification and validation of our autonomous trucks.
  • Design, implement, test, and deploy shippable production quality software using disciplined software development processes, setting the technical bar for the team.
  • Work within the cloud machine learning ecosystem alongside other machine learning services across the company, owning integration and scaling decisions for the team's pipeline.
  • Proactively assess current capabilities to identify areas for improvement, proposing and driving solutions that align with core strategy and operations.
  • Drive alignment across team interfaces to the rest of the organization, representing Scene Generation's roadmap, priorities, and constraints to peer teams and leadership.
  • Mentor, coach, and grow engineers on the team, and play an active role in hiring, onboarding, and career development for the group.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience OR Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience OR PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience.
  • Proficiency in Python and deep learning frameworks such as PyTorch.
  • PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.
  • Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
  • Experience with production data in the context of robotics and/or autonomous driving
  • Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
  • Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.
  • Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.
  • Experience with VDI and cloud-based machine learning development environments.
  • Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.
  • Track record of mentoring and developing engineers, including more senior individual contributors.
  • Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization.

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, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals.
  • Experience with MLOps and infrastructure tools such as Ray.
  • Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
  • Prior experience as a formal people manager or tech lead.

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.
Job ID: R-102840
Hiring Range for Job Opening
US Pay Range
$249,600-$299,500 USD

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