Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Tesla Logo

Internship, Software Machine Learning Engineer, Reliability Energy Engineering (Winter/Spring 2026)

Tesla

$20 - $50
Aug 20, 2025
Palo Alto, CA, US
Apply Now

Tesla is looking to leverage large-scale data and models to help engineers design and validate compelling and reliable products for their customers. The intern will work with real-time test, factory, and fleet data to develop statistical models that inform decision-making on prognostics and targeted design actions, ultimately impacting millions of Tesla customers.

Requirements

  • Excellent SW skills and proficiency in writing production-quality code in Python
  • Excellent understanding of linear algebra, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience
  • Practical experience with a low-level (C, Rust) and database (SQL) programming languages
  • Familiarity with PySpark and Big Data frameworks
  • Familiarity with CI/CD
  • Ability to code robust apps (potentially interfacing with data streams)
  • General knowledge of physics and engineering principles

Responsibilities

  • Design, develop, train, and deploy predictive / control models of physical degradation, usage and system performance
  • Build robust, flexible and automated software tools to enable complex analysis of real-time fleet
  • Design scalable and reliable data pipelines to productionize and monitor both new and existing models
  • Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures
  • Build visualizations to effectively communicate results

Other

  • Pursuing a degree in Computer Science or Engineering in a related field
  • Minimum of 12 weeks, full-time and on-site
  • Must be able to work 40 hours per week on-site
  • International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.