Applied Scientist Intern
Required skills
- Python
- SQL
- statistical theory
- probability theory
- machine learning theory
- data analysis
- model evaluation
- experimentation
- validation methods
- Claude Code
Nice to have
- econometrics
Role summary
Seeking an Applied Scientist Intern to specialize in models, products, and codebase. Responsibilities include identifying problems/opportunities, conducting self-directed investigations, performing offline analyses, and presenting findings to the ML team. The intern will research ML and statistical approaches to improve model performance and business value, design and implement enhancements using rigorous experimentation, and translate research into recommendations and production-ready solutions. Requires strong fundamentals in statistics, probability, and ML theory, with proficiency in Python and basic SQL. Ability to use modern agentic tooling is also required. Mentorship and collaboration with experienced ML practitioners are provided.
About Upstart
At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.
If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.
The Role
As an Applied Scientist Intern, you will become a specialist in our models, products, business and/or codebase. You will identify potential problems or opportunities for improvement, communicate these to the team and suggest solutions. This involves self-directed investigation, offline analyses using creative thinking as well as presentation to the ML team. You will receive mentorship from experienced ML practitioners and collaborate closely with the team to improve our products and models.
How you’ll make an impact
Minimum Qualifications
Preferred Qualifications
Position location This role is Fully Remote
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. To this end, over the course of the internship, you will meet to collaborate once or twice, for 2-4 consecutive days at a time.
What you'll love
At Upstart, our intern benefits are designed to support your health, financial well-being, and everyday needs while you’re here. Here’s what you can expect:
#LI-REMOTE
#LI-Internship
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
United States | Remote - Anticipated Base Salary Range$141,000—$150,000 USDWhat you'll love
At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:
For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy
Sample Upstart interview questions
- 1
Diameter of a Binary Tree Find the diameter of a binary tree. Input: root = [1,2] Output: 1 Explanation: The longest path is simply the single edge connecting the root node to its only child.
codingmedium - 2
Connected Components in an Undirected Graph Determine the number of connected components in an undirected graph. Input: n = 4, edges = [[0,1],[2,3]] Output: 2 Explanation: The graph is split completely evenly into two distinct isolated components: nodes {0,1} and nodes {2,3}.
codingmedium - 3
Split Array into Consecutive Subsequences Split an array into consecutive subsequences. Input: nums = [1,2,3,4,4,5] Output: FALSE Explanation: The numbers can form [1,2,3,4], but the remaining leftover group [4,5] is too short to form a valid sequence of length 3.
codingmedium - 4
Pacific and Atlantic Water Flow Calculate water flow from a matrix to the Pacific and Atlantic oceans. Input: heights = [[2,1],[1,2]] Output: [[0,0],[0,1],[1,0],[1,1]] Explanation: All cells can flow to both oceans because water can move to adjacent cells of equal or lower height or directly off the edges.
codingmedium - 5
Unique Combinations that Sum to a Target Find all unique combinations in an array that sum to a target. Input: candidates = [2,4,6], target = 6 Output: [[2,2,2], [2,4], [6]] Explanation: Uses backtracking to find all valid combinations that sum to 6, allowing for explicitly repeated elements.
codingmedium
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