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Volunteer Machine Learning Jobs in Seattle, WA (NOW HIRING)

... machine learning, experimentation, and optimization across our ads ecosystem. You'll design and ... Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world's leading ...

Generous PTO (including paid time to volunteer!) * Up to 9.5% 401(k) employer contribution * Mental ... Construct predictive models using machine learning to explain and understand observed events ...

We envision a future where artificial intelligence and machine learning revolutionize industries ... We also encourage employees to give back to their communities through our volunteer programs. We're ...

Senior Network Development Engineer

Seattle, WA · On-site

$118K - $162K/yr

We envision a future where artificial intelligence and machine learning revolutionize industries ... We also encourage employees to give back to their communities through our volunteer programs. We're ...

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Showing results 41-60

Volunteer Machine Learning information

See Seattle, WA salary details

$9

$21

$38

How much do volunteer machine learning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for volunteer machine learning in Seattle, WA is $21.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $22.98 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 Seattle, WA?

The most popular types of Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Volunteer Machine Learning jobs in Seattle, WA?

For Volunteer Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Volunteer Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Volunteer Machine Learning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Volunteer Machine Learning jobs?

Cities near Seattle, WA with the most Volunteer Machine Learning job openings:

Infographic showing various Volunteer Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $45,299 per year, or $21.8 per hour.

Senior/Lead Data Scientist, Data & Analytics (Seattle, WA) (Seattle)

Starbucks

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,641 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Now Brewing – Senior/Lead Data Scientist

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

As a Data Scientist, you’ll help guide business decisions by building and applying statistical and machine learning approaches to solve high‑impact problems. You’ll partner cross‑functionally to turn ambiguous questions into measurable solutions—delivering insights and models that can be adopted into real business workflows.

Responsibilities
  • Develop and apply analytical models (statistical and/or machine learning) to improve decision‑making, performance, and customer/partner outcomes.
  • Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non‑technical stakeholders.
  • Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).
Qualifications
  • 4+ years in data science, applied analytics, or a closely related field
  • BA/BS in a quantitative field (or equivalent practical experience)
  • Proficiency with Python or R and SQL
Preferred Qualifications
  • MS/PhD in a quantitative discipline (or equivalent advanced experience)
  • Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
  • Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
  • Familiarity with experiment design / causal inference and translating results into business actions
  • Demonstrated ability to mentor others and influence cross‑functional partners toward adoption
Benefits

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short‑term and long‑term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well‑being tools.

Additionally, Starbucks offers 100% upfront tuition coverage for a first‑time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative.

If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.

Compensation

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job‑related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.

We believe we do our best work when we’re onsite four days a week.

How to Apply

Join us and inspire with every cup. Apply today!

Equal Opportunity

Starbucks Coffee Company is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation or 1(888) 611-2258.

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What Starbucks employees say

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Benefits

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Get the full story on Breakroom


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About Starbucks

Sourced by ZipRecruiter

Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves. It is one of the largest coffeehouse chains in the world. Starbucks was founded in Seattle, Washington in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker. The company's initial focus was on selling whole coffee beans and coffee-making equipment. Over the years, Starbucks has expanded its operations and become known for its distinctive coffeehouse atmosphere and high-quality coffee products. The company offers a wide range of beverages, including various coffee-based drinks, teas, hot chocolates, and other specialty drinks. Starbucks also serves a variety of food items such as pastries, sandwiches, salads, and snacks. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. In addition to its traditional coffeehouses, Starbucks has expanded its brand to include different store formats. This includes drive-thru locations, express stores, and even upscale Reserve Roasteries and Reserve Bars that offer a more immersive coffee experience. Starbucks is also known for its ethical sourcing practices. The company has implemented programs such as Coffee and Farmer Equity (C.A.F.E.) Practices, which promote environmentally friendly and socially responsible coffee production. Starbucks has a commitment to ethically sourcing its coffee beans and has made efforts to support sustainable farming practices and improve the livelihoods of coffee farmers. The Starbucks brand has a global presence, with thousands of stores in countries around the world. It has become a symbol of premium coffee and a popular destination for coffee lovers worldwide. The company's success has made it an iconic brand and a significant player in the global coffee industry.

Industry

Food services and drinking places and restaurants

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US