3 POSITIONS · HARVARD UNDERGRADS PREFERRED

Build real AI systems.
This summer.

Three paid internships in AI/ML engineering across a fintech startup and an international industrial company. A summer in Miami or New York, working hands-on with two real companies building real products.

10 weeks|$8,000 + housing may be provided|Late May – Early Aug

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The Work

Two projects. Two industries.

You'll work across both — building AI systems that solve fundamentally different problems.

Fintech Startup

CRE Intelligence Engine

An AI-powered fintech platform that automates how commercial real estate professionals analyze deals and make investment decisions.

PythonMachine LearningData EngineeringFull StackCorporate FinanceFinance

International Industry

Energía y Potencia

AI/ML engineering for a 30-year-old Colombian industrial company. The role involves building automation and optimization systems across operations — from supply chain to customer service. 160 employees, 9+ locations, $5–25M revenue.

PythonML/ForecastingNLPData PipelineSpanish a Plus

What We're Looking For

You'd be a good fit if you...

⚡Are comfortable understanding Python and have worked with data

📊Have taken or are taking courses in statistics, ML, finance, or data science

🔨Want to build real products, not do busywork — you'll ship code from day one

🌎Are excited about working across a startup and an international business simultaneously

🧠Can take ambiguous problems and figure out next steps without being told exactly what to do

Why This Internship

What you'll walk away with.

🚀Production experience shipping AI/ML systems to real users — not class projects or simulations

🤝Direct mentorship from someone who's worked in quantitative analytics at Bank of America and academic research at UMiami — plus exposure to senior operators at both companies

🌍Exposure to both startup operations and international business — two very different environments in one summer

📝A strong reference and a portfolio of work you actually built, not a line on a resume that says you helped with something

Apply

Submit your application

Takes about 5 minutes. No cover letter needed. Applications close May 1, 2026.

Full Name *

Harvard Email *

Class Year *

Concentration *

Resume (Google Drive link) *

Upload your resume to Google Drive, set sharing to "Anyone with the link," and paste the link here.

Unofficial Transcript (Google Drive link) (optional)

Same as above — upload to Drive with link sharing enabled.

GitHub / Portfolio Link (optional)

LinkedIn (optional)

Describe a project you've worked on that you're proud of. *

0 / 150 words

Which aspects of these projects interest you most and why? *

0 / 150 words

Are you available late May through early August 2026? *

How did you hear about this? *

Positions may be filled before the deadline — applications reviewed on a rolling basis.

Questions? Reach out at [email protected]

About

Sam Lindemann

Harvard '26 · Statistics · Miami, FL

🔗 LinkedIn 📄 Resume

I'm a Harvard senior concentrating in Statistics with a focus on machine learning, causal inference, and applied data science. This summer I'm running two projects — an AI-powered fintech startup and an AI/ML automation engagement for an international industrial company — and I'm looking for three sharp undergrads to help build them.

I've worked in quantitative analytics at Bank of America, where I built CRE models and evaluated loan risk across a 136K+ loan dataset. Before that, I was an NSF Research Fellow at the University of Miami, where I co-authored academic papers and built ML classifiers for government flood policy. At Harvard, I teach Introduction to Linear Models to 130+ students as a Teaching Fellow.

Teaching Fellow — Introduction to Linear Models

Aug 2025 – Present

Harvard University

Leading weekly sections for 130+ students, designed a new AI-generated exam format, and restructured course problem sets.

Summer Analyst — Global Quantitative Analytics

Jun – Aug 2025

Bank of America

Evaluated loan risk models using global performance metrics adopted by the model team. Built a hotel-sector CRE proxy function. Researched and validated model variables on a 136K+ loan dataset.

Undergraduate Research Fellow — NSF-REU

May – Sep 2024

University of Miami

Co-authored academic papers as the only undergraduate on the team. Built ML classifiers for government flood adaptation studies. Conducted statistical inference on 700+ person survey data in R.

Skills & Languages

PythonRSQLJavaScriptCOCamlExcelMachine Learning

Spanish (Native)English (Native)

Interested in working together this summer?

Questions? [email protected]

Build real AI systems.This summer.