AI/Machine Learning Engineer Intern
Company: Handshake
Location: San Francisco, CA
Salary: $49 an hour
Type: Full-time
Level: Junior
Posted: 2026-02-20
About this role
## About Handshake
Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers — including 100% of the Fortune 50 — trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.
This unique position in the ecosystem is driving exceptional growth — in 2025, we tripled ARR at scale.
Why join Handshake now:
- Shape how careers evolve in the AI economy at global scale, with visible real-world impact
- Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
- Help build a rapidly scaling business on a path toward multi-billion-dollar revenue
## The Role
As a AI/Machine Learning Engineering Intern, you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.
You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.
This is a paid, full-time summer internship with two cohort options:
- **May 18 – August 7, 2026**
- **June 15 – September 4, 2026**
### In this role, you will:
- Partner with senior engineers and data scientists to develop machine learning models that improve user experience
- Build Agentic pipelines/workflows to improve the Handshake student/employer user experience
- Contribute to experimentation, model evaluation, and performance monitoring
- Participate in technical discussions, brainstorming sessions, and team reviews
- Document methodologies and findings to support knowledge sharing and long-term system improvements
## You Have
**Must Have...