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Volunteer Machine Learning Jobs (NOW HIRING)

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance ...

Proficiency in programming languages relevant to AI, Machine Learning and Application Development ... Voluntary Benefits to fit your needs The expected salary range for this position is $162,031.00 ...

$162K - $224K/yr

Proficiency in programming languages relevant to AI, Machine Learning and Application Development ... Voluntary Benefits to fit your needs The expected salary range for this position is $162,031.00 ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $224K/yr

Proficiency in programming languages relevant to AI, Machine Learning and Application Development ... Voluntary Benefits to fit your needs The expected salary range for this position is $162,031.00 ...

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ... voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet ...

Staff Machine Learning Engineer - AI Products Location: Hybrid in NYC (Bryant Park Office) Salary ... Giving Back - Recognition programs + dedicated volunteer days to support causes you care about.

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ... voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet ...

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Volunteer Machine Learning information

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$8

$19

$33

How much do volunteer machine learning jobs pay per hour?

As of Jun 13, 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, and why are they important?

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 contributor?

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 job?

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:
What job categories do people searching Volunteer Machine Learning jobs look for? The top searched job categories for Volunteer Machine Learning jobs are:
Infographic showing various Volunteer Machine Learning job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Capital Group

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

Medical, Life, Retirement

Posted 7 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"
We are seeking a strong software engineer with practical machine learning experience to design, build, and operate Generative AI systems that improve Capital Group's investment process and outcomes.
You will work closely with investment professionals and engineering partners to translate ideas into reliable, production-grade systems. While curiosity and experimentation are important, this role emphasizes engineering rigor, system design, and delivering durable solutions at scale.
You will join a high-performing team of ML engineers and software engineers building Generative AI and LLM-based capabilities, including multi-agent systems, semantic search, summarization, and document understanding pipelines. We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ownership.
"I am the person Capital Group is looking for."
You will:
  • Design and implement scalable, production-quality systems that incorporate machine learning and Generative AI components.

  • Take end-to-end ownership of technical projects, from system design through implementation and operational excellence.

  • Collaborate with cross-functional partners to translate ambiguous problems into well-structured technical solutions.

  • Maintain a high bar for code quality, testing, clarity, and reliability.

  • Contribute to architectural decisions, ensuring systems are maintainable, extensible, and resilient.

  • Apply sound engineering judgment when integrating ML models into larger distributed systems.

  • Operate with urgency, ownership, humility, and strong collaboration across teams.

Required Experience
  • 7+ years of professional software engineering experience, with strong proficiency in Python (or similar modern language).

  • Demonstrated experience designing and building large scale production systems with solid architectural foundations.

  • Strong understanding of system design principles, APIs, distributed systems concepts, and cloud-native development.

  • Hands-on experience integrating machine learning models into production applications or services

  • Experience with cloud platforms, CI/CD, DevOps, or MLOps practices for deploying and monitoring applications.

  • Strong problem-solving ability - able to break down ambiguous problems into clear technical plans.

  • Proven ability to own projects independently and drive them to completion.

  • Strong communication skills and behavioral maturity; able to collaborate effectively with diverse stakeholders.

Preferred (Nice to Have)
  • Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

  • Experience with ML lifecycle tooling such as experiment tracking, model versioning, monitoring, or CI/CD for ML systems

  • Familiarity with model evaluation, monitoring, and performance trade-offs.

  • Exposure to modern ML frameworks (e.g., PyTorch, HuggingFace, etc.).

  • Experience reviewing research papers and translating relevant ideas into practical implementations.

What We Value Most
Engineering excellence. Ownership. Sound judgment. Humility. Collaboration. Curiosity.
We are looking for a strong builder - someone who combines deep software engineering skill with the ability to thoughtfully apply machine learning techniques in real-world systems.
"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: $201,683-$322,693
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.