ML Engineer Intern — Summer 2026

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. #J-18808-Ljbffr Technovate AI