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Nonprofit Machine Learning Jobs in Spring, TX (NOW HIRING)

Citadel

Software Engineer - Intern (US)

Houston, TX

$112.50 - $145/hr

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... We manage capital on behalf of many of the world's preeminent private, public and nonprofit ...

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... We manage capital on behalf of many of the world's preeminent private, public and nonprofit ...

Lindsay & Brownell

AI Engineer

Houston, TX · On-site

... machine learning deployments that deliver real business impact. What it Means to Work for ... nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also ...

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All JobsNonprofit Machine Learning JobsNonprofit Machine Learning Jobs in Spring, TX

Nonprofit Machine Learning information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do nonprofit machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nonprofit machine learning in Spring, TX is $37,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 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 Spring, TX? For Nonprofit Machine Learning jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Nonprofit Machine Learning jobs in Spring, TX look for? The top searched job categories for Nonprofit Machine Learning jobs in Spring, TX are:
What cities near Spring, TX are hiring for Nonprofit Machine Learning jobs? Cities near Spring, TX with the most Nonprofit Machine Learning job openings:
Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in Spring, TX as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $37,895 per year, or $18.2 per hour.

Machine Learning Researcher - PhD Intern (US)

Citadel

Houston, TX

$112.50 - $145/hr

Full-time

Posted 20 days ago

Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

  • Use statistics, machine learning (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
  • Implement algorithms in high-quality code
  • Work with large data sets, including unconventional and unstructured data sources
  • Back-test models and document research findings

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
  • Prior experience working in a data driven detailed research environment
  • Hands on programming experience in Python or C++
  • A background demonstrating strong problem-solving skills
  • An ability to communicate advanced concepts in a concise and logical way
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

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