1

Junior Machine Learning Engineer Jobs in Dearborn, MI

Machine Learning Engineer, App SW

Detroit, MI · On-site

$283.50 - $381.60/hr

Machine Learning Engineer Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and ...

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Junior Machine Learning Engineer information

See Dearborn, MI salary details

$30.8K

$66K

$100.6K

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

As of Aug 11, 2026, the average yearly pay for junior machine learning engineer in Dearborn, MI is $65,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $73,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Dearborn, MI? The most popular types of Machine Learning Engineer jobs in Dearborn, MI are:
What cities near Dearborn, MI are hiring for Junior Machine Learning Engineer jobs? Cities near Dearborn, MI with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Dearborn, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $65,963 per year, or $31.7 per hour.

Senior Machine Learning Engineer (Computer Vision & AI)

Faurecia

Auburn Hills, MI

$115K - $152K/yr

Full-time

Re-posted 21 days ago


Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment.

You will partner with cross-functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands-on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast-paced, evolving environment. Key Responsibilities Design, develop, and deploy machine learning models with a focus on computer vision, predictive maintenance, and anomaly detection Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment Collaborate with engineering, manufacturing, and business stakeholders to translate real-world problems into scalable AI solutions Optimize model performance and scalability using GPU acceleration and parallel computing frameworks Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production-ready solutions Partner with data and software engineering teams to integrate models into production systems and workflows Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts Ensure best practices in model reproducibility, documentation, and performance monitoring Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities Your profile and competencies to succeed Your Profile & Competencies Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field 5+ years (preferably 7+) of hands-on experience in machine learning or applied AI roles Strong expertise in machine learning and deep learning, with practical experience in computer vision applications Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow Experience building and deploying models in production environments Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques Experience with ML pipelines, model lifecycle management, and scalable system design Ability to work effectively in matrixed, cross-functional environments Strong problem-solving and analytical skills, with the ability to translate complex data into actionable insights Effective communicator, able to explain technical concepts to non-technical stakeholders Experience in automotive, manufacturing, or industrial environments is a strong plus Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred What we can do for you At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies

We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values.

Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers.

Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration.

We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5C

Three principles guide our action:use less, use betteranduse longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard.

We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.


What Faurecia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom