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Machine Learning Jobs in Detroit, MI (NOW HIRING)

SynergisticIT

AI and Machine Learning Engineer

Detroit, MI

$104K - $125K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design ...

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All JobsMachine Learning JobsMachine Learning Jobs in Detroit, MI

Machine Learning information

See Detroit, MI salary details

$23.3K

$39K

$80.5K

How much do machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning in Detroit, MI is $38,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,100.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Detroit, MI? The most popular types of Machine Learning jobs in Detroit, MI are:
What are popular job titles related to Machine Learning jobs in Detroit, MI? For Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Detroit, MI look for? The top searched job categories for Machine Learning jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Machine Learning jobs? Cities near Detroit, MI with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Detroit, MI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $38,964 per year, or $18.7 per hour.

Senior Simulation Engineer - Machine Learning

Woven by Toyota

Ann Arbor, MI

$140K - $230K/yr

Other

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.

 

TEAM
The 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 largescale 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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