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Volunteer Machine Learning Jobs in Warren, MI (NOW HIRING)

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience supporting machine learning or advanced analytics pipelines, including feature ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Design, build, and deploy machine learning models to improve forecasting, routing, and supply chain ... Paid time off, company holidays, and volunteer days Our Culture Our values are the key to our ...

Senior Controls Engineer

Highland Park, MI · On-site

$88K - $116K/yr

Maintain master backups for all machine programs. * Recommend the electrical spare parts inventory ... learning, mentorship, and volunteerism. Our industry-leading team is looking to recruit highly ...

Mechanical Specialist

Troy, MI · On-site

$44K - $71K/yr

Skilled in manual machine operation (vertical mill, lathe, surface grinding, etc.) * Skilled in ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

New

Mechanical Specialist

Troy, MI · On-site

$44K - $71K/yr

Skilled in manual machine operation (vertical mill, lathe, surface grinding, etc.) * Skilled in ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

Room Attendant

Southfield, MI · On-site

$17.65 - $18.65/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your ... Sort laundry, operate machines safely, and handle linen like it's made of gold (or at least 600 ...

Room Attendant

Southfield, MI · On-site

$17.65 - $18.65/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your ... Sort laundry, operate machines safely, and handle linen like it's made of gold (or at least 600 ...

Showing results 21-40

Volunteer Machine Learning information

See Warren, MI salary details

$7

$17

$31

How much do volunteer machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for volunteer machine learning in Warren, MI is $17.97, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $18.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the volunteer machine learning position?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a volunteer machine learning?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a volunteer machine learning?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Warren, MI? The most popular types of Machine Learning jobs in Warren, MI are:
What are popular job titles related to Volunteer Machine Learning jobs in Warren, MI? For Volunteer Machine Learning jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Warren, MI look for? The top searched job categories for Volunteer Machine Learning jobs in Warren, MI are:
Infographic showing various Volunteer Machine Learning job openings in Warren, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,386 per year, or $18 per hour.

Senior Software Engineer, Embedded Networking

Latitude AI

Detroit, MI • On-site

$179K - $268K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Latitude AI (lat.ai) is building the future of Ford's autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on Ford's all-new Universal Electric Vehicle in 2027.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to redefining the relationship between people and their vehicles for millions of customers.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters.
What you'll do:
  • Deliver safe and efficient embedded software for state-of-the-art sensing systems
  • Produce high-quality, maintainable code using C++
  • Design and optimize in-vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software
  • Design, implement, and test full-stack software running in resource-constrained environments
  • Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product

What you'll need to succeed:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Strong experience developing embedded applications and systems using C++
  • Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration
  • Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive-grade) Ethernet switches, including low-level configuration, firmware interaction, and troubleshooting hardware-software interface issues
  • Strong software design, algorithm, problem-solving, and analytical skills
  • Strong test-first design mindset
  • Experience with multi-processor SoCs or similar embedded processors
  • Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred
  • Prefer candidates with experience developing software for highly complex, safety-critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety-critical data paths

Nice to have:
  • Strong modern C++ skills
  • Understanding of networking and time-sensitve networking
  • Experience developing Linux device drivers for Ethernet, GPU, PCIE or flash devices like UFS, eMMC, NVMe
  • Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies
  • Track record of technical leadership in automotive or related fields taking products to production

What we offer you:
  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude's team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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