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Contract Google Machine Learning Engineer Jobs in Dexter, MI

Machine Learning Engineer

Ann Arbor, MI · 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 · 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 · 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 ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

... contracts other teams build against. • Work the boundary with machine learning deliberately: you own the platform and the interface it exposes; ML engineers own the features and models built on top ...

... Machine Learning, or data science solutions. location: Ann Arbor, Michigan job type: Contract ... Guide technical teams, including data scientists and engineers, on model development, data ...

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Contract Google Machine Learning Engineer information

See Dexter, MI salary details

$28

$46

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How much do contract google machine learning engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for contract google machine learning engineer in Dexter, MI is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $48.32 per hour, depending on experience, location, and employer.

What cities near Dexter, MI are hiring for Contract Google Machine Learning Engineer jobs?

Cities near Dexter, MI with the most Contract Google Machine Learning Engineer job openings:

Machine Learning Engineer

Ann Arbor, MI • On-site

Full-time

Re-posted 17 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:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• 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.