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Contract Machine Learning Engineer Jobs in Southfield, MI

Machine Learning Engineer, App SW

Detroit, MI ยท 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 ยท 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 ...

Machine Learning Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

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

Machine Learning Tutor

Detroit, MI ยท Remote

$18 - $40/hr

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

Showing results 41-60

Contract Machine Learning Engineer information

See Southfield, MI salary details

$28.9K

$118.1K

$177.5K

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

As of Aug 11, 2026, the average yearly pay for contract machine learning engineer in Southfield, MI is $118,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $142,200.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are popular job titles related to Contract Machine Learning Engineer jobs in Southfield, MI? For Contract Machine Learning Engineer jobs in Southfield, MI, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Engineer jobs in Southfield, MI look for? The top searched job categories for Contract Machine Learning Engineer jobs in Southfield, MI are:
What cities near Southfield, MI are hiring for Contract Machine Learning Engineer jobs? Cities near Southfield, MI with the most Contract Machine Learning Engineer job openings:

Machine Learning Engineer, App SW

Icehouseventures

Detroit, MI โ€ข On-site

$283.50 - $381.60/hr

Other

Posted 5 days ago


Job description

About us

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 navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardwareโ€‘agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fastโ€‘paced environment big problems ignite usโ€”we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

As an ML Engineer within the Application Engineering team, youโ€™ll lead critical initiatives that push the frontier of modelโ€‘based autonomous drivingโ€”both in terms of core driving performance and featureโ€‘level intelligence such as personalisation, comfort, and collaboration.

Youโ€™ll design and deliver MLโ€‘driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and realโ€‘world deployment. Youโ€™ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

Responsibilities:
  • Develop and improve endโ€‘toโ€‘end driving models with stateโ€‘ofโ€‘theโ€‘art performance, robustness, and generalization.
  • Lead projects on personalised and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
  • Build evaluation pipelines and metrics for both closedโ€‘loop and openโ€‘loop driving performance and product readiness.
  • Curate and mine realโ€‘world and synthetic data to drive scenario diversity, coverage, and featureโ€‘specific development.
  • Influence architecture choices, training methodologies, and deployment pathways for productionโ€‘scale learning systems.
  • Collaborate crossโ€‘functionally across various teams to ensure integration and iteration velocity.
  • Mentor senior engineers and shape the longโ€‘term technical direction across Autonomy.
About you:

In order to set you up for success as a Machine Learning Engineer at Wayve, weโ€™re looking for the following skills and experience.

Essential
  • Extensive and proven track record of shipping deep learning systems to production.
  • Expert in deep learning (esp. sequential models, control, planning, or perception).
  • Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
  • Experience with realโ€‘time systems or robotics, ideally with simulationโ€‘or vehicleโ€‘inโ€‘theโ€‘loop components.
  • Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Desirable
  • Prior work in autonomous driving, imitation learning, or trajectory prediction.
  • Familiarity with personalization, human behavior modeling, or driver intent inference.
  • Experience integrating ML systems into production hardware or multiโ€‘agent simulation.

This role is a fullโ€‘time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 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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Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If youโ€™re passionate about selfโ€‘driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and nonโ€‘discriminatory.

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