1

Machine Learning Research Intern Jobs in State University, AR

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... We value diverse backgrounds and experiences and invest in your growth through hands-on learning ...

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... We value diverse backgrounds and experiences and invest in your growth through hands-on learning ...

Carpenter

State University, AR · On-site

$23.08/hr

Performs work in, on, around, over, and under fixed equipment and machinery, including working from ... FSU prides itself on being a dynamic, learning-centered institution that emphasizes teaching with ...

Showing results 41-57

Machine Learning Research Intern information

See State University, AR salary details

$23.5K

$39.3K

$81.2K

How much do machine learning research intern jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning research intern in State University, AR is $39,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in State University, AR?

For Machine Learning Research Intern jobs in State University, AR, the most frequently searched job titles are:

What cities near State University, AR are hiring for Machine Learning Research Intern jobs?

Cities near State University, AR with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in State University, AR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,272 per year, or $18.9 per hour.

Spring & Summer 2027 Intern - Product Management

Workiva

Jonesboro, AR • On-site, Remote

$40/hr

Full-time

Retirement

Posted 7 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Product Management Intern, you will immerse yourself in solving problems for Workiva's customers and business. You will support product managers in evaluating challenges, engaging with stakeholders, and refining solutions. This role offers the opportunity to work directly with our development team to build and release new features.

What You'll Do

  • Learn and support how customer research is conducted to understand user needs and pain points
  • Analyze customer usage data to make data-driven decisions under the supervision of senior product managers
  • Build strong working relationships within the product development team and with other product managers
  • Contribute ideas to product development
  • Serve as an advocate for your customers and uphold a high standard for building a high-quality product

What You'll Need

Minimum Qualifications

  • Pursuing a degree in a related field

Preferred Qualifications

  • Possess leadership skills and the ability to influence and inspire your team
  • Exhibit a self-starter mindset to execute in a fast-paced environment with minimal direction
  • Demonstrate a strong ability to develop and communicate product vision to your team, peers, and stakeholders
  • Possess excellent verbal and written communication skills
  • Have strong analytical, problem-solving, and prioritization skills
  • Work collaboratively in an environment that promotes constant team communication
  • Prior experience in software development or a similar field

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


What Workiva employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom