Machine Learning Engineer Intern, Upstart

• Strong academic credentials with an ongoing bachelor’s or master’s degree in computer science, physics, machine learning, or other quantitative areas of study. We require that you are on track to graduate by the summer of 2027 (our internship program is not open to first- and second-year undergraduates)
• Programming skills in Python
• Proficiency across machine learning, numerical computing, and software engineering fundamentals. Foundations in probability and statistics
• Strong sense of intellectual curiosity, humility, drive and teamwork, as well as communication skills

Desirable

• As a Machine Learning Engineering Intern at Upstart, you’ll build tools and production‑grade code that make our models better and our researchers faster (think MLE: {Code} → {Better Code}).
• You will implement algorithmic improvements that boost predictive power, training efficiency, or serving latency; design reliable data/feature pipelines; and automate repeatable workflows that reduce time from research to deployment and monitoring.
• You’ll receive mentorship from experienced ML practitioners and collaborate closely with ML scientists to deliver solutions to real‑world engineering problems
• Deliver projects that improve model performance, efficiency, latency or reliability
• Write production-grade code, i.e. tested, reviewed and scalable Python
• Communicate findings clearly to get buy-in for recommended next steps. Work with your mentor toalign stakeholders, and drive next steps