Machine Learning Engineering Intern, Workiva

Summer 2025

Salary not provided

Salary range in the US: $40.00 - $40.00

AWS
Docker
Kubernetes
Python
Go
Git
REST API
Remote in US
Denver

More information about location

Workiva

Business data platform

Be an early applicant

Workiva

Business data platform

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Be an early applicant

Salary not provided

Salary range in the US: $40.00 - $40.00

AWS
Docker
Kubernetes
Python
Go
Git
REST API
Remote in US
Denver

More information about location

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

Workiva’s mission is to power transparent reporting for a better world.

Role

Who you are

  • Currently pursuing a bachelor’s degree or higher in statistics, math, computer science, physics, electrical engineering, or equivalent certifications (required)
  • Solid programming skills
  • Ability to work within a geographically distributed team
  • Basic experience with source control systems such as Git
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Desirable

  • 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

What the job involves

  • This position has opportunities to start in the Summer. Please see our start date below and let us know your availability
  • Summer Internships: Monday, May 19, 2025 (40/hours per week max)
  • The Machine Learning Engineering Intern acts as part of a collaborative team within the Data Management and Analytics organization. The team’s primary role is to support the development, deployment, and monitoring of machine learning models developed by Workiva’s data scientists
  • Participates in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implements tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Participates in code reviews
  • Implements and updates tests (unit, integration)
  • Tracks tasks and completes status updates using internal tools
  • Works in an Agile development methodology alongside their teammates

Application process

  • 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: September 28, 2024
  • Interviews: Early to Mid October
  • Offers: By end of October

Our take

For large-scale businesses, collecting and sharing data can be a complex and challenging process. Workiva solves this problem with its cloud-based data platform.

Workiva is one of the biggest players in the market, serving around 75% of Fortune 500 companies, including Google and Delta. Workiva's controlled, secure and audit-ready platform has maintained a clear edge over much of its competition.

Workiva's quality product and its commitment to transparency has made it a firm favourite with companies around the world. If it can maintain this, it stands to consolidate its impressive growth even further in the coming years.

Kirsty headshot

Kirsty

Company Specialist

Insights

Some candidates hear
back within 2 weeks

5% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Oct 2014

$0.7m

EARLY VC

Dec 2012

$30.7m

SERIES C

Total funding: $46.9m

Company benefits

  • A discretionary bonus typically paid annually
  • Restricted Stock Units granted at time of hire
  • 401k w/ match
  • Health, dental, and vision
  • Vacation accruals
  • Life and disability insurance
  • Employee stock purchase plan
  • Volunteer time-off
  • Parental leave
  • Travel & accident insurance
  • Paid holidays
  • Work remotely
  • Discount programs
  • Health and wellness
  • Pet-friendly atmosphere
  • Choose from additional plans that cover legal expenses, stolen identity, or even your pet's health

Company values

  • Customer success: Always delight our customers.
  • Innovation: Keep creating solutions and finding better ways.
  • Trust: Always rely on each other.
  • Inclusion: Support a diverse community where we all belong.
  • Integrity: Do the right thing, every time.
  • Accountability: Be responsible for your success and failure.
  • Collaboration: Share resources and work together.

Company HQ

Holborn, London, UK

Leadership

Marty Vanderploeg

(CEO, not founder)

Previously worked as a Professor at Iowa State University. Founded Engineer Animation Inc. in 1990.

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