Machine Learning Engineer Intern - Job Description

About Upstart:

• Mission: Radically reduce the cost and complexity of borrowing for all Americans.
• Leading AI lending marketplace partnering with banks and credit unions.
• Platform runs over one million predictions per borrower using more than 1,800 signals.
• Digital-first company with flexibility to work remotely or from offices in Columbus, Austin, Bay Area, or New York City (opening Summer 2026).

The Team:

• Machine Learning is central to Upstart’s business model.
• Team includes research scientists, data scientists, and machine learning engineers.
• Work spans underwriting and pricing, fraud detection, performance marketing, loan servicing,

and fair lending/explainability. The Role:

• Build tools and production-grade code to improve models and accelerate researchers.
• Implement algorithmic improvements for predictive power, training efficiency,

or serving latency.

• Design reliable data/feature pipelines.
• Automate workflows to reduce time from research to deployment and monitoring.
• Receive mentorship from experienced ML practitioners.
• Collaborate closely with ML scientists on real-world engineering problems.

How You’ll Make an Impact:

• Deliver projects improving model performance,

efficiency, latency or reliability.

• Write tested,

reviewed, scalable Python production code.

• Communicate findings clearly to align stakeholders and drive next steps.

Minimum Qualifications:

• Strong academic credentials with ongoing bachelor’s or master’s degree in computer science,

physics, machine learning, or other quantitative fields.

• On track to graduate by summer 2027 (internship not open to first/second-year undergraduates).
• Programming skills in Python.
• Proficiency in machine learning,

numerical computing, software engineering fundamentals; foundations in probability and statistics.

• Intellectual curiosity,

humility, drive, teammwork, and communication skills. Preferred Qualifications:

• PhD studies or post-doctoral research in relevant quantitative fields (PhD students must be on track to graduate by summer 2027).
• Experience building models and conducting statistical/quantitative research.
• Experience building ML tooling or solving real-world ML engineering problems in industry (e.g., data pipelines,

evaluation frameworks). Position Location: Remote Travel Requirements: Majority of work can be done remotely within US or Canada (outside Quebec). Expected to spend quality time in-person for regular onsites/meetings once or twice per quarter. Compensation & Benefits Summary: Anticipated base salary range: $141000—$150000 USD (varies by location). Target bonuses, equity compensation. Medical/dental/vision coverage with Upstart covering 90%-100% depending on plan choice. Generous 401(k) plan with $2 match per $1 contributed up to $15k/year. Employee Stock Purchase Plan with discounted stock options. Paid time off including family/parental leave. Family-centered benefits supporting fertility and caregiving. Employee Assistance Program for mental health support. Financial wellness resources including planning tools and concierge service. Annual wellness and productivity allowances. Onsite perks at offices including catered lunches and stocked micro-kitchens. Equal Opportunity Employer statement included.