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Machine Learning Contract Remote Jobs in Detroit, MI

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Detroit, MI

Machine Learning Contract Remote information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

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

As of Sep 11, 2026, the average yearly pay for machine learning contract remote in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are the most commonly searched types of Machine Learning Remote jobs in Detroit, MI?

The most popular types of Machine Learning Remote jobs in Detroit, MI are:

What are popular job titles related to Machine Learning Contract Remote jobs in Detroit, MI?

For Machine Learning Contract Remote jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Detroit, MI look for?

The top searched job categories for Machine Learning Contract Remote jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Machine Learning Contract Remote jobs?

Cities near Detroit, MI with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you

Senior Machine Learning Engineer - Localization

Ann Arbor, MI • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Design, develop, and deploy production ML models for ego-motion estimation and localization using various vehicle sensors.

  • Develop scalable training and evaluation workflows with PyTorch and large-scale real-world datasets.

  • Analyze vehicle data to assess performance, identify failure modes, and improve models and systems.

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Accurate and highly available information about vehicle motion and position is fundamental to the safe operation of autonomous trucks. Core capabilities such as perception, prediction, planning, and control depend on reliable ego-motion and localization estimates to ensure safe and efficient vehicle behavior.
The Ego-Motion & Localization Team develops the ML models, state estimation algorithms, and production software responsible for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready localization and sensor fusion solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.
What You'll Do
  • Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.
  • Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.
  • Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation.
  • Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.
  • Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.
  • Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions.
  • Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.
  • Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.
  • Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master's degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.
  • Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).
  • Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.
  • Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.
  • Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.
  • Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.
  • Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.
  • Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.

Bonus Points
  • Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods.
  • Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.
  • Knowledge of embedded and real-time constraints for on-vehicle deployment.
  • Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.
  • Contributions to open-source robotics, perception, or ML frameworks.
  • Familiarity with functional safety standards and automotive development processes, including ISO 26262.

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102894
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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