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Nonprofit Machine Learning Jobs (NOW HIRING)

S&P Global

Machine Learning Engineer II

Manhattan, NY · On-site

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Generous company matching on donations to non-profit charities * Up to $20,000 tuition assistance ...

S&P Global

Machine Learning Engineer II

New York, NY

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Generous company matching on donations to non-profit charities * Up to $20,000 tuition assistance ...

S&P Global

Machine Learning Engineer II

Cambridge, MA · On-site

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Generous company matching on donations to non-profit charities * Up to $20,000 tuition assistance ...

Astera Institute

$150K - $300K/yr

Unlike traditional non-profit research organizations, Astera funds and operates projects like high ... Machine learning is a general and scalable solution, but it is not uniformly sample efficient. The ...

Candid

$130 - $160/hr

Candid is a nonprofit that provides the most comprehensive data and insights about the social ... Senior Machine Learning Engineer Reporting to: Data Science Manager Schedule: 35-hour work week ...

Candid

Senior Machine Learning Engineer

$107K - $146K/yr

Position Summary Candid is a nonprofit that provides the most comprehensive data and insights about ... Senior Machine Learning Engineer Reporting to: Data Science Manager Supervises: N/A Schedule: 35 ...

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Nonprofit Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do nonprofit machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for nonprofit machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

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 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 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.

More about Nonprofit Machine Learning jobs

What cities are hiring for Nonprofit Machine Learning jobs?

Cities with the most Nonprofit Machine Learning job openings:

What states have the most Nonprofit Machine Learning jobs?

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What job categories do people searching Nonprofit Machine Learning jobs look for?

The top searched job categories for Nonprofit Machine Learning jobs are:

Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 80% Full Time, and 15% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Trainer

Fuel Consulting, LLC

Mclean, VA • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Fuel Consulting, LLC is seeking an experienced training instructor with expertise in advanced technologies like artificial intelligence and machine learning. The instructor will be responsible for teaching machine learning concepts to a diverse audience and developing a curriculum that enhances AIML knowledge and prepares the workforce for the future.
Responsibilities:
• Lead and manage all aspects of a multi-faceted curriculum
• Update training materials as needed
• Recommend improvements to both training materials and software based on course feedback and observations
• Develop ideas for new courses as appropriate
Qualifications:
Required:
• 10 years of classroom instruction experience
• 5 years of curriculum development experience
• Demonstrated knowledge of intelligence community foundation capabilities including analysis; targeting; collection and operations
• Training intelligence community audiences in any or all of these disciplines
• Very strong communication skills
• Upbeat, energetic, confident personal presence
• Top Secret with Polygraph clearance clearance required
Preferred:
• Exposure to and understanding of data science or hard sciences
• Coding skills in Python and/or R
Company:
Fuel Consulting, LLC is an elite management-consulting firm specializing in powering organizational change in demanding times in the federal, nonprofit, and commercial sectors. Founded in 2008, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.

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