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Machine Learning Software Engineer Jobs in Michigan

V2Soft

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

They are seeking a Machine Learning Engineer to design and implement AI solutions, optimize systems for performance and scalability, and work with enterprise-scale data environments. Responsibilities ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Skills Required: • Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology. • Work with other Software and ML Engineers to ...

SynergisticIT

Remote Software Engineer

Ann Arbor, MI

$50.75 - $69.50/hr

For data science/machine learning positions required skills include a bachelors degree or masters ... programming language Java and understanding of the software development life cycle knowledge of ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site

$95K - $131K/yr

Senior Machine Learning Engineer As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting ...

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Machine Learning Software Engineer information

See Michigan salary details

$55.3K

$128.6K

$179.1K

How much do machine learning software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning software engineer in Michigan is $128,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Michigan? The most popular types of Machine Learning Software Engineer jobs in Michigan are:
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What job categories do people searching Machine Learning Software Engineer jobs in Michigan look for? The top searched job categories for Machine Learning Software Engineer jobs in Michigan are:
What are popular job titles related to Machine Learning Software Engineer jobs in MI? For Machine Learning Software Engineer jobs in MI, the most frequently searched job titles are:
Machine Learning Software Engineer jobs near you

Senior Simulation Engineer - Machine Learning

Woven by Toyota

Ann Arbor, MI • On-site

$140K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAMThe Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. We collaborate with partners across Toyota, offering numerous opportunities to integrate cutting-edge technology into consumer vehicles globally. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. The simulation technologies we develop and integrate form the foundation of our virtual verification and validation efforts, enabling autonomy and ADAS stack development, regression testing, and model training.
WHO ARE WE LOOKING FOR?
The Simulation Core team is seeking an experienced Senior Simulation Engineer to lead the adoption and integration of advanced machine learning technologies, including world foundation models, into large-scale simulation workflows. This role sits at the intersection of simulation and machine learning and will enable us to complement traditional simulation paradigms with workflows that enable large scale training and testing of machine learning-based autonomy stacks. By steering technical direction, collaborating with cross-functional teams, and mentoring developers, you will play a key role in evolving our critical AD/ADAS simulator tools.
RESPONSIBILITIES
  • Lead adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g. scenario creation, reactive agents and sensor/vehicle/intersection/world modeling).
  • Architect and extend our next generation core simulation technologies (e.g. agent frameworks, scenario engine, sensor simulation).
  • Partner with ADAS teams to improve the development and evaluation of ADAS software.
  • Help set the team roadmap to support the growing landscape of ADAS customers and use cases.
  • Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.

MINIMUM QUALIFICATIONS
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
  • 5+ years of relevant work experience.
  • Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred).
  • Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
  • Strong programming skills in Python, Rust or C++.
  • Proven track record crafting well-designed, impactful solutions within allotted time and resource constraints.
  • Ability to think, design, and code for both the user's and simulator developer's perspectives.
  • An infectious self-driven passion for solving complex problems while learning new techniques and technologies!

NICE TO HAVES
  • Familiarity with recent breakthroughs in machine learning (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures).
  • Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).
  • Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
  • Experience in the automotive and/or self-driving autonomy domain.

For positions based in Palo Alto, CA, the base pay ranges from $140,000 -$230,000 a year.
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits
Our Commitment
• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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