Workiva Logo

Workiva

Summer 2026 Intern - Machine Learning

Sorry, this job was removed at 05:35 p.m. (MST) on Friday, Jan 30, 2026
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

Similar Jobs

An Hour Ago
Remote or Hybrid
Chatsworth Lake Manor, CA, USA
37K-66K Hourly
Senior level
37K-66K Hourly
Senior level
Fintech • Financial Services
Manage and grow relationships with affluent customers through proactive outreach, discovery-driven advice, and multi-product solutions across deposits, lending, investments, home lending and business banking. Own a defined book of business, coordinate with Wealth, Home Lending and Business Banking partners, drive digital adoption, ensure accurate documentation and risk/compliance adherence, and support branch service needs including account openings and service requests.
2 Hours Ago
Remote
United States
82K-112K Annually
Senior level
82K-112K Annually
Senior level
Big Data • Transportation • Analytics • Big Data Analytics
Perform inside sales development to set meetings and drive prospect attendance at Arity events. Execute email and phone campaigns, coordinate with field sales on pipeline and account penetration strategies, use Salesforce to track activity, participate in pipeline reviews and account strategy sessions, and develop campaign and lead generation tactics.
Top Skills: Salesforce
3 Hours Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills: AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries

  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer

  • Participate in code reviews

  • Implement and update tests (unit, integration)

  • Track tasks and complete status updates using internal tools

  • Work in an Agile development methodology alongside your teammates

What You'll Need 

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in statistics, math, computer science, physics, electrical engineering, or equivalent certifications

  • Possess solid programming skills

  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team

  • Demonstrate strong communication and organizational skills

  • Familiarity with the data science lifecycle and basic machine learning concepts

  • Experience with containerization tools such as Docker and Kubernetes

  • Knowledge of cloud platforms such as AWS

  • Proficiency with Python and/or Go

  • Familiarity with REST APIs

Travel Requirements & Working Conditions 

  • Minimal travel 

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

Sponsorship Requirements

  • Must be authorized to work in the United States and not require sponsorship now or in the future

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!

All postings close: February 20, 2026

Interviews: Early to mid March

Offers: Mid to late March

2026 Start Dates:

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

Summer 2026 Internships: Monday, May 18, 2026 (40/hours per week max)

How You’ll Be Rewarded

✅ 401(k) participation and match

✅ Paid sick leave

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

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 [email protected].

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.

Workiva Denver, Colorado, USA Office

Workiva is in an ideal location on the banks of the South Platte River surrounded by restaurants and retail shops!

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account