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Artificial Intelligence Machine Learning Engineer Jobs in Dexter, MI

Machine Learning Engineer

Ann Arbor, MI ยท On-site

$120K - $180K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning systems that control our mineral refining facilities. You'll start with well-scoped problems inside our ...

Lead Machine Learning Engineer

Ann Arbor, MI ยท On-site

$100K - $132K/yr

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 ...

Lead Machine Learning Engineer

Ann Arbor, MI ยท On-site

$100K - $132K/yr

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 ...

Algorithm Engineer

Ann Arbor, MI ยท On-site

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images ...

Midlevel AI Developer

Ann Arbor, MI ยท On-site

$50 - $55/hr

... Artificial Intelligence, Machine Learning, or Generative AI applications. Experience programming in one or more of the following languages: Python, Java, C#, or TypeScript/JavaScript. Experience ...

Senior AI/ML Engineer

Dearborn Heights, MI ยท On-site

$96K - $132K/yr

Role: Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months ... Artificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software ...

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Artificial Intelligence Machine Learning Engineer information

See Dexter, MI salary details

$30K

$122.7K

$184.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for artificial intelligence machine learning engineer in Dexter, MI is $122,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $147,700.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Dexter, MI are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Dexter, MI with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Dexter, MI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,700 per year, or $59 per hour.

Machine Learning Engineer

Ann Arbor, MI โ€ข On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
โ€ข Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
โ€ข Build and refine pieces of our training environmentsโ€”reward functions, observations, and action logicโ€”with guidance from senior engineers.
โ€ข Train control models, track and interpret their performance, and dig into why a model underperforms.
โ€ข Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
โ€ข Write clean, well-tested code and contribute to the services that put models into production.
โ€ข Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
โ€ข 0โ€“4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computingโ€”or a strong recent graduate with demonstrated project depth.
โ€ข Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
โ€ข Proficiency in Python and comfort reading and debugging an existing codebase.
โ€ข Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
โ€ข A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.