AI/Machine Learning Engineer Intern

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 Haves:

• Are currently pursuing a degree in Computer Science, Data Science, or a related field
• Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
• Have exposure to software engineering best practices (version control, testing, code reviews)
• Have familiarity with data analysis techniques and experience with SQL
• Have strong problem-solving skills and the ability to work in a collaborative team environment
• Have strong communication skills and are able to explain technical concepts effectively

Bonus Points:

• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Experience with modern coding tools like Cursor/Claude code/Codex
• Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems

We Offer

Handshake provides benefits that help you feel supported and thrive at work and in life. (The below benefits apply to US-based interns.)

• Competitive hourly compensation
• Mentorship and hands-on learning from experienced ML engineers
• 5 days/week in-office experience
• Structured intern programming and team events