Internship, Machine Learning Engineer, Factory Software (Winter/Spring 2027)

02 · Requirements and your timeline

Check the actual eligibility requirements.

Work arrangement

On-siteFull-time, 40 hours per week on site in Fremont; at least 12 weeks. Expected start around January 2027 through the spring term (approximately May or later). No exact weekly office-day count is stated.Work arrangement source ↗

Degree levels recorded

bachelors · masters

Graduation window

2027-12 to 2028-12

Start date

Not confirmed

Deadline

No fixed deadline confirmed

Minimum years of experience

No numeric minimum confirmed

No fixed closing date is stated in the complete official JD or visible first application page. January 2027 is the internship start, not an application deadline; later steps were not inspected.

Pursuing Computer Science, Information Technology or a related degree, graduating December 2027–December 2028. Python, JavaScript/TypeScript, Golang or similar; database/infrastructure experience and modern web applications. The team works on computer vision, NLP, data mining, factory statistics and optimization, including dataset cleaning, model iteration and production monitoring.

• International students using CPT are explicitly told to consult their school about working 40 hours per week before applying. School approval and this job must be checked separately.
• January-to-May academic-term availability is required; this is not a Summer 2027 internship.
• Recent graduates who will not return to school are directed to full-time roles instead.
• Program-level conditional sponsorship is not a role-specific H-1B commitment or a promise of full-time conversion.
• This is an ML/data engineering internship, not an AI Product Manager job; the analytical and software capabilities, not a product title, are the match.

Questions still to resolve

• Confirm sponsorship for the specific role, hiring entity and your circumstances; program or employer evidence alone is not role approval.
• Add your graduation month and year to compare the published window.
• Confirm that you will return to study after the internship.
• Confirm enrollment in the degree program specified by this posting.
• E-Verify enrollment has not been matched to the hiring legal entity. Verify separately if relevant to STEM OPT.
• Compare your degree and enrollment status with the official requirements.
• No fixed deadline was confirmed; check the official posting before applying.

Graduation dates are compared only where exact bounds are stated. We do not infer CPT/OPT eligibility, work permission or H-1B timing from your academic year.

03 · Separate employer check

E-Verify

Hiring legal entity not independently confirmed

The Tesla careers page states that Tesla participates in E-Verify, but the hiring legal entity has not been independently matched. This is separate from sponsorship.

E-Verify participation is separate from H-1B sponsorship and the other STEM OPT requirements. An employer statement or an unmatched name is not a completed legal-employer verification.

04 · Prepare with a purpose

What to prepare and why

Build a reproducible vision or NLP project: clean a dataset, establish evaluation metrics, compare models, and explain error analysis. Demonstrate Python and a small production-facing service or dashboard, with monitoring and an explanation of the operational decision it improves.

What changed