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Nonprofit Machine Learning Jobs in California (NOW HIRING)

SRI International

Intern

Menlo Park, CA · On-site

$40/hr

Develop and evaluate relevant machine learning frameworks and software * Document the research ... SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich ...

FAR.AI

$120K - $190K/yr

... machine learning or statistics. Logistics If based in the USA or Singapore, you will be an employee of FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will ...

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Nonprofit Machine Learning information

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 California? For Nonprofit Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Nonprofit Machine Learning jobs in California look for? The top searched job categories for Nonprofit Machine Learning jobs in California are:
What cities in California are hiring for Nonprofit Machine Learning jobs? Cities in California with the most Nonprofit Machine Learning job openings:
Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Engineer I II/III (AI / Machine Learning)

Gladstone Institutes

San Francisco, CA • On-site

$78K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Category:
Science
Lab/Area:
Jain Lab
Description:
Who we are
At Gladstone Institutes, every role contributes to discoveries that have the potential to transform
lives.
Gladstone is a world-renowned independent, nonprofit biomedical research organization dedicated to solving some of the most challenging diseases affecting humanity. Our scientists are leaders in neuroscience, cardiovascular disease, immunology, stem cell biology, and emerging areas of biomedical innovation. Located in San Francisco's vibrant Mission Bay research hub, Gladstone brings together exceptional researchers, clinicians, and professionals who share a common goal: improving human health through science.
With approximately 600 employees, we offer the agility of an independent institute combined with the impact of a globally recognized research organization. We foster a collaborative, inclusive culture where employees are encouraged to grow professionally while contributing to work that truly matters.
About the Role
The Jain Lab develops new approaches to understand how oxygen, metabolism, and vitamins regulate physiology and disease. We combine CRISPR screens, multi-omics, imaging, computational biology, and animal models to answer fundamental biological questions and develop new therapies.
We are seeking a highly motivated AI Research Engineer to help build an AI-native research laboratory. You will develop AI systems that access scientific literature, laboratory datasets, electronic lab notebooks, Slack discussions, manuscripts, protocols, and experimental results in order to generate hypotheses, critique ideas, design experiments, and accelerate discovery.
This is a unique opportunity to work at the intersection of frontier AI and experimental biology, helping define how AI transforms biomedical research.
What You Will Do
  • Design and build systems for ingesting literature, datasets, electronic lab notebooks, Slack discussions, meeting transcripts, code repositories, protocols, etc. into a "lab knowledge repository" (data layer) optimized for search & retrieval of information by AI agents.
  • Develop agentic AI systems that reason across the lab knowledge repository, and use external tools to perform multi-step scientific workflows tailored to the lab's focus and ways of working.
  • Build always-on AI agents that proactively review new papers, meetings transcripts, etc. and make connections, suggest hypotheses & experiments, identify flaws or gaps, and help with interpretation.
  • Collaborate closely with experimental scientists to rapidly prototype and deploy AI tools.
  • Evaluate new & emerging AI tools for biomedical research and incorporate state-of-the-art methods into the lab.

What You Will Need
  • BS or MS in Computer Science, AI, Machine Learning, Computational Biology, Bioengineering, or a related quantitative discipline.
  • 0-2 years of research or industry experience (outstanding undergraduate applicants encouraged).
  • Strong Python programming skills.
  • Strong knowledge of best practices for AI-assisted coding with tools like Claude Code, Codex, OpenCode, etc.
  • Strong knowledge of agentic AI fundamentals such as MCP servers/tool calling loops, embeddings & vector databases, Skills & context engineering, and related technologies.
  • Experience building projects with LLMs and agentic AI frameworks such a Langchain/Langgraph, OpenAI/Gemini/Claude SDK, etc.
  • Experience with cloud infrastructure (GCP, AWS, Azure), Docker, Git, and modern software engineering practices.
  • Interest in biology and enthusiasm for learning molecular biology and biomedical research.
  • Excellent communication and collaboration skills.

What Is Preferred
  • Coursework or research experience in molecular biology, genetics, computational biology, or bioinformatics.
  • Experience with biological datasets (RNA-seq, CRISPR screens, imaging, proteomics, metabolomics).
  • Experience developing AI agents that interact with APIs, databases, or external tools.
  • GitHub, open-source contributions, or substantial personal AI projects.

Who Should Apply
We are looking for someone who loves building things, learns new technologies quickly, and is excited about applying frontier AI to scientific discovery. You do not need extensive industry experience, but you should have demonstrated initiative through research projects, internships, open-source contributions, or personal projects involving LLMs or agentic AI systems. You will work closely with researchers across Gladstone, Arc Institute, UCSF, and collaborating laboratories.
Salary Range:
$78,000-$114,000
Gladstone Perks & Benefits
  • People-work with talented, committed, and supportive teammates within an organization that values each member of its community.
  • A meaningful place to grow and learn-whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment.
  • Healthy work/life balance-you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.
  • Compensation-competitive salary. Title and salary will be commensurate with education and experience.
  • Excellent benefits-generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.

Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.

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