ML Engineer Intern — Summer 2026

Technovate AI; San Francisco (CA); On-site; USD 45,000 - 67,000; Full time

Benefits offered by this job

Open-source contributions

LLM applications experience

Job summary

Technovate AI in San Francisco offers a twelve-week internship on a real client engagement. You’ll ship something to production, not a demo that gets deleted in September.

You will work on a scoped piece of a live client engagement alongside senior engineers, build and extend evaluation suites for production systems, and present your work to the engineering team at the end of the internship. The program includes active participation in design reviews and structured onboarding.

Qualifications

• Pursuing a degree in computer science, mathematics, or a related field.
• Solid Python and a genuine understanding of how ML systems fail.
• At least one substantial project you can walk through in technical detail.

Responsibilities

• Work on a scoped piece of a live client engagement alongside senior engineers.
• Build and extend evaluation suites for production systems.
• Present your work to the engineering team at the end of the internship.
• Participate fully in design review — including reviewing other people's designs.

Skills

Python

ML systems failure understanding

Technical project walkthrough

Education

Pursuing CS/Math related degree

Job description

A twelve-week internship on a real engagement with a real deliverable. You will ship something to production, not build a demo that gets deleted in September.

• Work on a scoped piece of a live client engagement alongside senior engineers
• Build and extend evaluation suites for production systems
• Present your work to the engineering team at the end of the internship
• Participate fully in design review — including reviewing other people's designs

What we're looking for

• Currently pursuing a degree in computer science, mathematics, or a related field
• Solid Python and a genuine understanding of how ML systems fail
• At least one substantial project you can walk through in technical detail
• Available for twelve weeks starting June 2026

Nice to have

• Prior internship or research experience
• Open-source contributions
• Experience with LLM applications specifically

What the first three months look like.

We write this down for every role so expectations are explicit on both sides from day one.

Onboarding, environment setup, and a first scoped contribution to an internal tool.

Core project work on a live engagement with a named mentor and weekly check-ins.

Ship your project, write it up, and present to the engineering team.

Our hiring process

• 1 Intro call — 30 minutes with a hiring lead
• 2 Technical screen — 60-minute paired session
• 3 System design — 90 minutes with two senior engineers
• 4 Team conversations — three 30-minute chats
• 5 Offer — written, within 48 hours

Fifteen days end to end. You will know where you stand at every step.

Questions first?

Email us before you apply if anything is unclear. A hiring lead will answer — not a recruiting inbox.