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Internship, Data Engineer, System Software (Fall 2025)

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Tesla

2mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Bellevue

AI generated summary

  • You should be pursuing a related degree, have experience with NLP and deep learning, data analysis tools, Python, Spark, SQL, and familiarity with Kubernetes, Docker, CI/CD. Strong collaboration and communication skills are essential.
  • You will label data, fine-tune NLP models, analyze data with Spark, SQL, and Python, develop CI/CD pipelines for ETL applications, and support application development and debugging.

Requirements

  • Pursuing a Degree in Computer Science, Software Engineering, Physics, Math, Computer Engineering or related field with a graduation date between December 2025 – December 2026
  • Experience working with NLP machine learning models
  • Experience working with deep learning / fine-tuning
  • Experience working with advanced data analysis tools
  • Experience with Python, Spark, and SQL
  • Experience with Kubernetes, Docker, and CI/CD methods
  • Strong aptitude to collaborate with different internal stakeholders to understand requirements and developing systems and tools to meet them
  • Excellent oral and written communication skills
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • A passion and curiosity for data and data-driven decision making

Responsibilities

  • Establish labeled and split data sets to fine-tune NLP based machine learning models
  • Iterate across multiple models to determine accuracy and fit for project needs
  • Perform data analysis using Spark, SQL, and Python
  • Develop, maintain, and improve CI/CD pipelines to support Extract, Transform, and Load (ETL) applications
  • Support application-level development, monitoring, support, and debugging

FAQs

What is the duration of the internship?

The internship is expected to last for a minimum of 12 weeks, starting around August/September 2025 and continuing through the Fall term (approximately December 2025).

Are international students eligible to apply for this internship?

Yes, international students can apply, but they must consult their school regarding work authorization through CPT and their ability to work 40 hours per week on-site.

What qualifications are required for this position?

Candidates must be pursuing a degree in Computer Science, Software Engineering, Physics, Math, Computer Engineering, or a related field with a graduation date between December 2025 and December 2026.

What skills are preferred for this role?

Preferred skills include experience with NLP machine learning models, deep learning, advanced data analysis tools, Python, Spark, SQL, Kubernetes, Docker, and CI/CD methods.

Is this position full-time or part-time?

This internship position is full-time, requiring 40 hours of work per week on-site.

Will I receive any benefits during the internship?

Yes, as a full-time Tesla Intern, you will be eligible for various benefits, including medical, dental, and vision plans, retirement savings options, paid time off, and additional resources.

What is the expected compensation for this internship?

The expected compensation for this position ranges from $30.83 to $43.16 per hour, plus benefits.

Can I apply for this internship if I am a recent graduate?

No, this internship program is specifically for students who are actively enrolled in an academic program. Recent graduates should apply for full-time positions instead.

What type of projects will I be working on?

Interns will work on establishing labeled and split data sets for NLP-based machine learning models, performing data analysis, and developing and improving CI/CD pipelines for ETL applications.

Are there opportunities for collaboration within the team?

Yes, a strong aptitude to collaborate with different internal stakeholders is expected to understand requirements and develop systems and tools to meet them.

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.