ZipRecruiter

Log In

1

Volunteer Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

Q2

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115.40K - $192.30K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115.40K - $192.30K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125.90K - $209.70K/yr

This role focuses on defining what to build and why -leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125.90K - $209.70K/yr

This role focuses on defining what to build and why-leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

Marpai Administrators LLC

Account Manager

Cary, NC · Remote

$65K - $85K/yr

... learning and machine learning to maximize population health outcomes with the greatest cost ... STD/LTD * Voluntary Benefits: Critical Illness, Accident, Hospital * 401k with Employer Match

New

Q2

Software Engineer

Cary, NC · Hybrid

Exposure to airflow, Snowflake, docker, GitLab, machine learning. RESPONSIBILITIES * Design ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

Q2 Software, Inc.

Software Engineer

Cary, NC · On-site

Exposure to airflow, Snowflake, docker, GitLab, machine learning. RESPONSIBILITIES * Design ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

next page

Showing results 1-20

People also search for

All JobsVolunteer Machine Learning JobsVolunteer Machine Learning Jobs in Raleigh, NC

Volunteer Machine Learning information

See Raleigh, NC salary details

$8

$18

$32

How much do volunteer machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for volunteer machine learning in Raleigh, NC is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.62 per hour, depending on experience, location, and employer.

What is a Volunteer Machine Learning job?

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 are the key skills and qualifications needed to thrive in the Volunteer Machine Learning position, and why are they important?

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 types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

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.
More about Volunteer Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Raleigh, NC? The most popular types of Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Volunteer Machine Learning jobs in Raleigh, NC? For Volunteer Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Volunteer Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Volunteer Machine Learning jobs? Cities near Raleigh, NC with the most Volunteer Machine Learning job openings:
Volunteer Machine Learning jobs near you
Infographic showing various Volunteer Machine Learning job openings in Raleigh, NC as of May 2026, with employment types broken down into 34% Full Time, 63% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $38,693 per year, or $18.6 per hour.

Machine Learning Engineer

Q2 Software, Inc.

Cary, NC • On-site

Full-time

Medical

Posted 11 days ago

Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
The Risk & Fraud team at Q2 helps our customers take a proactive stance against fraud while managing the risks inherent to their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value to our customers. Our solutions allow financial institutions to focus more of their time and energy on their mission: serving their customers and communities.
As a Machine Learning Engineer, you will help build and operate production systems that power our fraud products. You'll work closely with data scientists and engineers to bring models into production ensuring they are reliable, scalable, and maintainable.
You'll gain hands-on experience working across model development, evaluation, deployment, and ongoing monitoring and improvements. This is an applied role - the software you build will be solving real problems for real customers, and will therefore need to be testable, reliable, and production-ready.
A Typical Day:
Your Key Responsibilities
  • Build and maintain systems and pipelines that support training, evaluation, and inference for machine learning models.
  • Contribute to deploying machine learning models into production environments and ensuring they run reliably at scale.
  • Write clean, maintainable, and well-tested code following production engineering best practices.
  • Support monitoring and troubleshooting production ML systems, including data pipelines and model performance.
  • Collaborate with data scientists and engineers to productionalize models and integrate them into scalable applications.
  • Help improve the reliability, scalability, and performance of ML systems over time.
  • Contribute to improving tooling and infrastructure that supports the ML development lifecycle.

You are more likely to excel in the role if you:
  • Enjoy autonomy in your work and feel a sense of ownership in the team's goals. You
    work quickly but with the big picture in mind.
  • Have empathy for the end user and a desire to measure your work by both the
    customer value and technical quality.
  • Have enthusiasm for the field and professional development.

Bring Your Passion, Do What You Love. Here's What We're Looking For:
Must Haves
  • Typically requires a Bachelor's degree in a relevant field and a minimum of 2+ years of related experience; or an advanced degree; or equivalent related work experience.
  • Proficiency in Python.
  • Experience writing clean, maintainable code and using version control (e.g., Git).
  • Experience with machine learning and common frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

Nice to Have
  • Experience building end-to-end ML systems, including data pipelines, model training, deployment and monitoring.
  • Experience deploying or integrating machine learning models into applications.
  • Experience building APIs, backend services, or working with distributed systems.
  • Familiarity with cloud platforms (AWS, GCP, or Azure).
  • Exposure to MLOps concepts such as CI/CD and model monitoring.
  • Experience working with large datasets or data processing frameworks.
  • Experience with other programming languages (e.g. Typescript).

This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements

Apply