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Sustaining Engineer Intern Jobs in Seattle, WA (NOW HIRING)

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Sustaining Engineer Intern information

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How much do sustaining engineer intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for sustaining engineer intern in Seattle, WA is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.80 per hour, depending on experience, location, and employer.

What does a sustaining engineer intern do?

A Sustaining Engineer Intern assists experienced engineers in maintaining and improving existing products or systems. Their tasks may include troubleshooting issues, implementing minor design changes, supporting production teams, and documenting technical solutions. The goal is to ensure the continued performance, reliability, and quality of products after their initial release. This role offers hands-on experience with real-world engineering problems and helps interns develop practical problem-solving skills.

What types of projects and tasks can a sustaining engineer intern expect to work on during their internship?

As a Sustaining Engineer Intern, you will typically be involved in identifying, troubleshooting, and resolving issues with existing products or systems. Your daily tasks may include analyzing customer-reported problems, collaborating with cross-functional teams such as manufacturing and quality assurance, and developing solutions or process improvements. You may also help document fixes and support teams in implementing changes. This hands-on experience provides valuable exposure to real-world engineering challenges and an understanding of how products are maintained and improved after launch.

What are the key skills and qualifications needed to thrive as a sustaining engineer intern, and why are they important?

To thrive as a Sustaining Engineer Intern, you need a solid grasp of engineering fundamentals, problem-solving abilities, and relevant coursework in your engineering discipline. Familiarity with tools such as CAD software, issue tracking systems, and basic statistical analysis is often required. Strong communication, attention to detail, and a proactive attitude help interns effectively collaborate with teams and address product issues. These skills ensure that product quality is maintained and technical challenges are resolved efficiently during the internship.

What is the difference between Sustaining Engineer Intern vs Mechanical Engineering Intern?

AspectSustaining Engineer InternMechanical Engineering Intern
Primary FocusProduct support, troubleshooting, and maintaining existing productsDesign, development, and testing of new mechanical systems
Work EnvironmentManufacturing or product support teams within engineering departmentsDesign labs, R&D departments, or engineering offices
Required SkillsProblem-solving, technical troubleshooting, knowledge of product lifecycleDesign skills, CAD proficiency, mechanical analysis

While both roles involve engineering internships, a Sustaining Engineer Intern focuses on supporting and maintaining existing products, whereas a Mechanical Engineering Intern typically works on designing and developing new mechanical systems. The roles differ in daily tasks, skill requirements, and work environment, catering to different stages of the product lifecycle.

What are the most commonly searched types of Sustaining Engineer jobs in Seattle, WA?

The most popular types of Sustaining Engineer jobs in Seattle, WA are:

Summer 2027 Intern - Machine Learning Engineering

Workiva

Seattle, WA • On-site, Remote

$40/hr

Full-time

Retirement

Posted 9 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 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
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • 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, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • 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

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.


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