At the company, 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.
Responsibilities
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
Research machine learning and statistical approaches to discover improvements to the predictive performance and/or business value of a model.
Design, implement, and evaluate model, product, or technical enhancements using rigorous experimentation and validation methods.
Translate research findings into clear recommendations, documented methodologies, and production-ready solutions.
Work with your mentor to align stakeholders, and drive next steps.
Minimum Qualifications
Bachelor. Masters or PHD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by 2028.
Strong fundamentals in statistical, probability, and machine learning theory.
Ability to perform data analysis and evaluate machine learning or statistical models using Python, as well as basic SQL foundations.
Intellectual curiosity, humility, drive and teamwork.
Strong communication skills.
Ability to use modern agentic tooling (Claude Code, Codex, …) efficiently.
Preferred Qualifications
Phd in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by the summer of 2028.
Experience in supervised learning, model evaluation, and feature engineering techniques.
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.
This internship is eligible for a different set of benefits than those listed below for our full-time roles. Your recruiter will be happy to share more details.
LI-REMOTE
LI-Internship
At the company, 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, the company 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, the company provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
$141,000 - $150,000 USD
What you'll love
At the company, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:
Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
Health Savings Account contributions from the company for eligible plans (US only)
Income protection benefits, including life insurance and disability coverage for added financial security
Paid time off, sick leave, and company holidays, in line with local requirements
Paid family and parental leave to support caregiving and major life moments (duration varies by country)
Family-centered benefits to support fertility, parenthood, and caregiving needs
Employee Assistance Program (EAP) offering mental health support and life-centered resources
Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
Connection and community through team events, all-company updates, and employee resource groups (ERGs)
Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City
For roles based in Canada, please note that we are not currently able to hire in Quebec.
The company 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.
Where you’d work
Fully remote
You can work from
United States
About the company
Hidden companyCompany hidden
Industry: FinTech
Fair
Your chances
Still hiring, moderately crowded, and a person reads your message.
19 checks run
7 good signs
3 red flags
Still hiring?
13 checks
Actively hiring
StaleHiring
In its favour5
Still on the company's own careers site, checked 3 h agoModerate evidence
The company opened 6 roles and closed 7 in the last 2 weeks: hiring is movingModerate evidence
Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
2 moreFewer
A tight salary range, set for one seat: $140K to $150KSlight evidence
A hiring contact is attached to itSlight evidence
Against it1
Pays less than 97% of similar roles we trackSlight evidence
How crowded?
6 checks
Moderate
QuietCrowded
In its favour2
You can message the hiring contact and skip the queueModerate evidence
Pays below most similar roles, which thins the crowdSlight evidence
Against it2
Open for 2 weeks: applications have had time to pile upModerate evidence
Entry level: the most applied-to level there isModerate evidence