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Internship Tesla Machine Learning Engineer Jobs in Rutland, VT

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

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September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

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September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

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The CMC Development organization at Moderna is looking for top talent in science and engineering to deliver on its mission to design manufacturing processes for mRNA medicines. Summer Interns will ...

The CMC Development organization at Moderna is looking for top talent in science and engineering to deliver on its mission to design manufacturing processes for mRNA medicines. Summer Interns will ...

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Internship Tesla Machine Learning Engineer information

See Rutland, VT salary details

$26.1K

$43.6K

$90.1K

How much do internship tesla machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship tesla machine learning engineer in Rutland, VT is $43,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,100.00 per year, depending on experience, location, and employer.

What does an Internship Tesla Machine Learning Engineer do?

An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.

What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?

Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.

What are the key skills and qualifications needed to thrive as an Internship Tesla Machine Learning Engineer, and why are they important?

To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.

What is the difference between Internship Tesla Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Tesla Machine Learning EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, possibly some machine learning knowledgeStatistics, data analysis, programming skills, often some machine learning understanding
Work EnvironmentHands-on projects in AI/ML teams at Tesla, collaborative, fast-pacedData analysis tasks, reporting, modeling in various departments, collaborative
Employer & Industry UsageTesla, automotive, AI, and autonomous driving sectorsVarious industries including tech, finance, healthcare, often within data teams

Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.

What are popular job titles related to Internship Tesla Machine Learning Engineer jobs in Rutland, VT?

For Internship Tesla Machine Learning Engineer jobs in Rutland, VT, the most frequently searched job titles are:

What job categories do people searching Internship Tesla Machine Learning Engineer jobs in Rutland, VT look for?

The top searched job categories for Internship Tesla Machine Learning Engineer jobs in Rutland, VT are:

Summer 2027 Intern - Software Engineering

Workiva

Rutland, VT • On-site, Remote

$40/hr

Full-time

Retirement

Posted 6 days ago


Key responsibilities

  • Implement developer tools or product features under the direction of a senior developer

  • Build and maintain user-facing features using TypeScript/JavaScript and develop backend services in Java to support Global Search and scalability

  • Participate in an Agile development process by attending standups, defining user stories, and completing code reviews and unit tests


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

The Software Engineer Intern implements developer tools or product features on a rapid-release cycle. You will work in an agile development methodology to conduct code reviews and unit tests, contributing to Workiva's software under the guidance of a senior developer.

What You'll Do

  • Implement developer tools or product features under the direction of a senior developer
  • Contribute as either a backend or frontend engineer depending on project needs
  • Build and maintain user-facing features using TypeScript/JavaScript as part of frontend development
  • Develop backend services in Java to support Global Search adoption and scalability
  • Assist with building and extending functionality in Workiva Assistant using TypeScript
  • Track job assignments and complete status updates using internal tools
  • Work in an Agile development methodology, attend standups, define user stories, and implement development tasks
  • Complete code reviews and unit tests

What You'll Need

Minimum Qualifications

  • Currently enrolled in a degree-seeking program, preferably in Software Engineering, Computer Science, or a related field of study

Preferred Qualifications

  • Passion for writing software and learning the latest software development techniques
  • Excellent verbal, written, and interpersonal communication skills
  • Self-motivated with strong propensity for action, results, and continuous improvement
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment
  • Exceptional organizational skills with the ability to multi-task and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • A solid foundation in computer science, with competencies in data structures, algorithms, and object-oriented software design
  • Some experience in one or more of Python, Go, Java, C/C++/C#, Dart, or JavaScript
  • Additional exposure to client frameworks like React or Angular, Google App Engine, Amazon EC2, database design, knowledge of HTTP and web protocols
  • Based on team assignment, may require/prefer: a solid foundation in computer science, with competencies in data structures, algorithms, and object-oriented software design; some experience in one or more of Python, Go, Java, C/C++/C#, and SQL; additional exposure to REST/SOAP APIs, Google App Engine, Amazon AWS, database design, knowledge of HTTP and web protocols
  • Displays a high degree of ownership and drive to be the better version of themselves everyday.

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and 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

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