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

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Job Summary : Ai2 is a non-profit AI research institute based in Seattle, focused on building ... expertise in machine learning and collaborative research. Responsibilities : • Building ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

... machine learning or language models for agentic workflows. • Bridging the gap between cutting ... We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen.

Ai2

Research Engineer, Asta

Seattle, WA · On-site

... machine learning or language models for agentic workflows. • Bridging the gap between cutting ... We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen.

Ai2

Research Scientist, Asta

Seattle, WA · On-site

Ai2 is a non-profit AI research institute focused on developing foundational AI research and ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

Ai2

Research Scientist, Agents for Science

Seattle, WA · On-site

Ai2 is a non-profit AI research institute based in Seattle, focused on developing foundational AI ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

HealthPoint

Data Analyst II

Renton, WA · On-site

$81K - $129K/yr

HealthPoint is a community-based, community-supported and community-governed network of non-profit ... machine learning techniques, and prompt engineering to facilitate informed decision-making.

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

Ai2 is a non-profit AI research institute based in Seattle, focused on developing foundational AI ... machine learning pipelines and collaborating with a team. Responsibilities : • Building ...

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All JobsNonprofit Machine Learning JobsNonprofit Machine Learning Jobs in Seattle, WA

Nonprofit Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do nonprofit machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for nonprofit machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

How does the role of a machine learning specialist in a nonprofit differ from similar roles in the private sector?

In a nonprofit setting, a Machine Learning Specialist often works with limited resources and must prioritize projects that directly support the organization's mission, such as optimizing donor outreach, improving program delivery, or analyzing social impact. Collaboration with program staff, fundraisers, and volunteers is common, requiring strong communication skills to translate technical insights into actionable strategies. Unlike the private sector, where profitability may be the primary focus, success in a nonprofit environment is measured by social outcomes and mission alignment. This role offers the opportunity to see the tangible impact of your work and can lead to leadership or strategic roles within the organization as you demonstrate value.

What is the difference between Nonprofit Machine Learning vs Nonprofit Data Analyst?

AspectNonprofit Machine LearningNonprofit Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), statistical modelingData visualization, statistical analysis, Excel, SQL
Work EnvironmentResearch-focused, technical teams, data science projectsReporting, data interpretation, stakeholder communication
Employer & Industry UsageTech-driven nonprofits, research institutionsCharities, advocacy groups, social service agencies

Nonprofit Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and statistical skills. Nonprofit Data Analysts primarily interpret and visualize data to inform decisions. While both roles support nonprofit missions, Machine Learning positions are more technical and research-oriented, whereas Data Analysts focus on data reporting and communication.

What are the key skills and qualifications needed to thrive as a nonprofit machine learning specialist, and why are they important?

To thrive as a Nonprofit Machine Learning Specialist, you need a strong background in data analysis, statistics, and machine learning, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with donor management or CRM systems are highly valuable. Strong communication, problem-solving, and collaboration skills help translate technical solutions into meaningful impact for nonprofit missions. These abilities are crucial for leveraging data-driven insights to optimize resources, drive fundraising, and advance organizational goals.

What is a nonprofit machine learning professional?

A Nonprofit Machine Learning professional is someone who applies machine learning and data science techniques to help nonprofit organizations achieve their missions. This can include using predictive analytics to improve fundraising, optimize program delivery, or analyze the impact of initiatives. They often work with large datasets, develop algorithms, and collaborate with program staff to find data-driven solutions to social challenges. Their work helps nonprofits make more informed decisions and maximize their impact.
What are popular job titles related to Nonprofit Machine Learning jobs in Seattle, WA? For Nonprofit Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Nonprofit Machine Learning jobs in Seattle, WA look for? The top searched job categories for Nonprofit Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Nonprofit Machine Learning jobs? Cities near Seattle, WA with the most Nonprofit Machine Learning job openings:
Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 11% Internship, 62% Full Time, and 27% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Research Engineer, Asta

Ai2

Seattle, WA • On-site

Full-time

Re-posted 7 hours ago

Job description

Job Summary:
Ai2 is a non-profit AI research institute based in Seattle, focused on building breakthrough AI to solve significant global challenges. They are seeking a Research Engineer for the Asta Project, which aims to advance scientific discovery through AI tools and infrastructure, requiring expertise in machine learning and collaborative research.
Responsibilities:
• Building infrastructure to facilitate the next generation of LLM and agentic research.
• Creating AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc.
• Designing, building, and training machine learning or language models for agentic workflows.
• Bridging the gap between cutting-edge research and a widely adopted product.
• Bringing software engineering best practices to a research environment.
• Supporting and collaborating with an open-source community.
• Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports.
Qualifications:
Required:
• A bachelor’s degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure.
• 2+ years of experience building agentic infrastructure that handles tools, skills, and other artifacts.
• 2+ years of experience building infrastructure that handles data preprocessing/transformation and machine learning model training, evaluation, inference, and deployment.
• Knowledge of modern deep learning, natural language processing, and reinforcement learning techniques.
• Strong software engineering skills, particularly around building performant systems and debugging.
• Must have experience with Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
• Familiarity with cloud compute resources (e.g., GCP, AWS, Modal) and containerization (e.g., Docker).
• Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives.
Preferred:
• Advanced degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
• Contributions to open-source ML or research libraries (e.g., spaCy, AllenNLP, transformers, langchain).
• Experience successfully operating at scale in a production setting.
• Experience in HPC settings.
• Curiosity about AI research.
Company:
We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen. Founded in 2014, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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