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Volunteer Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

Whether you're raising a family, you're passionate about where you volunteer, or you want to ... In this role you will work with a high performing team of applied scientists, machine learning ...

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

Whether you're raising a family, you're passionate about where you volunteer, or you want to ... In this role you will work with a high performing team of applied scientists, machine learning ...

Senior Engineer - Machine Learning

New York, NY · Hybrid

$114K - $157K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research ... Paid time off and Paid volunteer time * Health and Wellness Benefits includes, Dental, and Vision ...

Senior Engineer - Machine Learning

Ambler, PA · Hybrid

$100K - $138K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Paid time off and Paid volunteer time * Health and Wellness Benefits includes, Dental, and Vision ...

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Machine Learning Engineer

Auburn Hills, MI

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. * Family ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... for volunteer time each calendar year. To learn more about working at Yum! - Click here. At Yum ...

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Senior Engineer - Machine Learning

Ambler, PA · On-site

$100K - $138K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... for volunteer time each calendar year. To learn more about working at Yum! - Click here. At Yum ...

TEKsystems is seeking a Machine Learning Engineer to support one of our major customers that sits ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...

Showing results 41-60

Volunteer Machine Learning information

See salary details

$8

$19

$33

How much do volunteer machine learning jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for volunteer machine learning in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 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.

More about Volunteer Machine Learning jobs

What cities are hiring for Volunteer Machine Learning jobs?

Cities with the most Volunteer Machine Learning job openings:

What are the most commonly searched types of Machine Learning jobs?

The most popular types of Machine Learning jobs are:

What states have the most Volunteer Machine Learning jobs?

States with the most job openings for Volunteer Machine Learning jobs include:

Infographic showing various Volunteer Machine Learning job openings in the United States 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 $39,804 per year, or $19.1 per hour.

Machine Learning Engineer II

Capital Group

Seattle, WA • On-site

$111K - $151K/yr

Full-time

Medical, Life, Retirement

Re-posted 26 days ago


Job description

"I can be myself at work."
You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.
We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.
"I can influence my income."
You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.
"I can lead a full life."
You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.
  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Machine Learning Engineer at Capital Group"
As a Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain state of the art machine learning models, data pipelines, and analytical systems to significantly enhance our investment processes and outcomes. You will conduct applied research into financial modeling to help our investment professionals make better decisions. In this role, you will collaborate directly with senior investment professionals and fellow technology associates to enhance our investment process through the use of state-of-the art ML techniques.
In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems. We are seeking a candidate who has hands-on experience architecting and delivering working systems and who is passionate about leveraging modern machine learning and software engineering innovations to produce superior long-term investment outcomes.
"I am the person Capital Group is looking for."
  • You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CG's investment process by making investment decisions.
  • You successfully research, train, evaluate and deploy models for financial modeling and data analysis from inception to deployment and operation.
  • You uphold a high standard of quality in your work, ensuring integrity in both form and function.
  • You write clear, efficient, and performant code.
  • You collaborate effectively to support team strategy, contributing to decisions regarding modeling and technology.
  • You proactively identify and tackle the root causes of endemic modeling problems, collaborating with cross-functional teams to implement sustainable solutions.
  • You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems.

Qualifications:
  • You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design skills with understanding of common design patterns.
  • You have a demonstrated track record in one or more machine learning subfield relevant to financial modeling, such as time series analysis, quantitative modeling, optimization, anomaly detection, or predictive analytics.
  • You have experience solving "full stack" machine learning problems, from data collection and ETL development to model training and deployment, and experience using machine learning to solve real business problems in finance or investment management.
  • You are strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.
  • You possess strong computer science fundamentals including data structures, algorithms, and complexity analysis.
  • You have knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).
  • You have a track record of successfully delivering enterprise-grade models into production.
  • You have experience with AWS services (S3, containers - ECS & EKS, Lambda) preferred.

"I can apply in less than 4 minutes."
You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.
"I can learn more about Capital Group."
At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.
Southern California Base Salary Range: $159,354-$254,966
Seattle Base Salary Range: $159,354-$254,966
In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.
You can learn more about our compensation and benefits here.
* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.
We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.