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Machine Learning Engineer Associate Jobs in Ann Arbor, MI

Epitec

AI Engineer

Detroit, MI · On-site

$50/hr

... Engineer is responsible for designing, developing, and deploying production-ready AI and ... machine learning solutions that address complex business needs. This role emphasizes end-to-end ...

New

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

The role involves working across various data domains and collaborating with machine learning engineers to enhance production processes. Responsibilities : • Work across domains--for example, all ...

Pwc

AI Engineer

Detroit, MI

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $142K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Ann Arbor, MI

Machine Learning Engineer Associate information

See Ann Arbor, MI salary details

$40.6K

$80.8K

$129.1K

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

As of Sep 4, 2026, the average yearly pay for machine learning engineer associate in Ann Arbor, MI is $80,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $92,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Ann Arbor, MI?

The most popular types of Machine Learning Engineer jobs in Ann Arbor, MI are:

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For Machine Learning Engineer Associate jobs in Ann Arbor, MI, the most frequently searched job titles are:

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What cities near Ann Arbor, MI are hiring for Machine Learning Engineer Associate jobs?

Cities near Ann Arbor, MI with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you

Machine Learning Engineering Manager, App SW

Wayve

Detroit, MI • On-site

$336K - $381K/yr

Full-time

Re-posted 8 days ago

Job description

The Role
We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve's AV capabilities in the US from the ground up.
As a founding manager, you'll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.
We're looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently - while staying aligned with global engineering efforts.
This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.
Key Responsibilities:
  • Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
  • Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
  • Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
  • Ensure the team upholds Wayve's high engineering standards, while operating with agility and independence.
  • Work closely with OEM partners in the US - representing Wayve's autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
  • Establish close working relationships with our product and vehicle operations teams in the US.
About you
To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.
Essential
  • A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
  • Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
  • Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
  • Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
  • Excellent communication skills: you're able to clearly convey technical context and strategic vision across cultures and time zones.
  • Strong product sense and stakeholder management skills: you're comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.
Desirable
  • Prior experience in autonomous vehicles or robotic systems operating at scale.
  • Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.
  • A strong foundation in machine learning and its application to real-time decision-making or perception systems.

This role is a full-time role based in Sunnyvale, CA or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
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