Job Description
What To Expect
Consider before submitting an application: This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
About The Team
The Data Engineering team is building a state-of-the- art analytics platform for business and operation intelligence. At Tesla, we have enormous amounts of data and we want to give meaning to it and help business users to make data driven decisions. Our platform will allow users to answer "what", "when" and "how" questions as well as allow them to ask "what if?”. Interns will help design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla. This position offers a unique opportunity to impact to the entire organization by creating a data driven culture.
What You'll Do Work with ML team and various other data scientists to create highly scalable API services that's based on ML and statistic modelsInfluence API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systemsFind new ways to improve in-house batch processing framework and workflow orchestrationWork closely with other teams from across the organization and help them get end-to-end deployment on existing infra and to serve their model for real-time business use-casesLearn and execute on best practices in ML modeling, handling, and usage in an enterprise setting
What You'll Bring Currently pursuing a degree in Computer Science, Engineering or a related field of study and graduating between 2026-2027Able to work on site in Fremont, CAPrior academic training in Software Engineering with a focus on building and scaling batch and real-time infraStrong knowledge of Python, Airflow and SQL and comfort with data wranglingYou have done production level model deployments and push a docker image to a API to serve ML modelsTransformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Scikit-learn, Jax)Excellent experience in deployment of machine learning models in production environments, particularly in nlp/video/media-focused applications.
Benefits
Compensation and Benefits
As a full-time Tesla Intern, you will be eligible for:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick time after 90 days of employment and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Commuter benefits Employee discounts and perks program
Expected Compensation
$40.00 - $56.00/hour + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
, Tesla
Job Tags
Full time, Temporary work, Part time, Summer work, Flexible hours,