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Volunteer Machine Learning Jobs in Pittsburgh, PA

System One

Infrastructure Engineer

Pittsburgh, PA · On-site

$104K - $136K/yr

Experience with Risk Assessments, Design Enterprise Architecture Framework, Machine Learning, and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

System One

Infrastructure Engineer

Pittsburgh, PA · On-site

$104K - $136K/yr

Experience with Risk Assessments, Design Enterprise Architecture Framework, Machine Learning, and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

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Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for volunteer machine learning in Pittsburgh, PA is $18.58, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.62 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Machine Learning jobs in Pittsburgh, PA?

The most popular types of Machine Learning jobs in Pittsburgh, PA are:

What are popular job titles related to Volunteer Machine Learning jobs in Pittsburgh, PA?

For Volunteer Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Volunteer Machine Learning jobs in Pittsburgh, PA look for?

The top searched job categories for Volunteer Machine Learning jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Volunteer Machine Learning jobs?

Cities near Pittsburgh, PA with the most Volunteer Machine Learning job openings:

Volunteer Machine Learning jobs near you

Senior Software Engineer - Scalable Machine Learning

Pittsburgh, PA • On-site

Latitude AI
See more jobs at Latitude AIexternal

$179K - $268K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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:
In the Intelligent Systems team, we convert photons into understanding, primarily via computer vision and machine learning. Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude.
What you'll do:
Scaling our machine learning models with data is vital to achieve optimal performance and to enable a safer and more sustainable future of transportation. In the Scalable ML team, we are looking at methods to improve the efficiency of model training, enabling ML developers to work efficiently with large volumes of data.
As a SWE for the Scalable ML team, you will:
  • Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
  • Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
  • Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
  • Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
  • Mentor junior engineers and provide technical guidance to elevate the team's software development standards

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 track record of successfully delivering complex software projects from conception to production
  • Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
  • Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
  • Strong proficiency in Python and/or C++ for developing high-performance, production-quality software

Nice to have:
  • Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
  • Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
  • Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
  • Familiarity with safety-critical software development principles in automotive or robotics domains
  • Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy

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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