Remote opportunity at
UpstartApplied Scientist Intern
Upstart operates an artificial intelligence lending marketplace that partners with credit unions and banks to expand affordable credit access through technology. The organization is seeking an…
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About This Role
Upstart operates an artificial intelligence lending marketplace that partners with credit unions and banks to expand affordable credit access through technology. The organization is seeking an Applied Scientist Intern to join their team in a fully remote capacity. In this position, interns specialize in the company models, codebase, products, or business operations. Responsibilities include identifying areas for improvement, conducting offline analyses, and proposing solutions through self-directed investigation. Candidates will receive…
Job Description
Upstart operates an artificial intelligence lending marketplace that partners with credit unions and banks to expand affordable credit access through technology. The organization is seeking an Applied Scientist Intern to join their team in a fully remote capacity.
In this position, interns specialize in the company models, codebase, products, or business operations. Responsibilities include identifying areas for improvement, conducting offline analyses, and proposing solutions through self-directed investigation. Candidates will receive mentorship from seasoned machine learning practitioners while collaborating to enhance existing models and offerings.
This opportunity is well-suited for individuals currently pursuing higher education who possess strong foundations in probability, statistical theory, and machine learning. Interns will engage in rigorous experimentation, research machine learning approaches to boost predictive performance, and translate findings into production-ready solutions. The role requires occasional travel to meet in person for team collaboration one or two times during the internship period.
Responsibilities
- Research machine learning and statistical methods to discover model enhancements
- Design, implement, and evaluate product and technical upgrades using rigorous experimentation
- Translate research findings into documented methodologies and production-ready solutions
- Collaborate with mentors to align stakeholders and drive project next steps
- Perform offline analyses through self-directed investigation and present findings to the machine learning team
Requirements
- Currently pursuing a Bachelor, Masters, or PhD degree in a quantitative field such as computer science, mathematics, statistics, physics, or econometrics
- On track to graduate by 2028
- Strong fundamentals in machine learning, probability, and statistical theory
- Proficiency in performing data analysis and evaluating models using Python
- Basic SQL foundations
- Strong communication skills and the ability to use modern agentic tooling efficiently
Qualifications
- PhD degree in computer science, mathematics, statistics, physics, econometrics, or a related quantitative field
- On track to graduate by the summer of 2028
- Experience in feature engineering, model evaluation, and supervised learning
- Advanced knowledge of econometrics or frequentist, bayesian, and causal statistical theory
- Strong coding abilities in Python
Core Skills
Benefits
- Comprehensive medical, vision, and dental coverage
- Health Savings Account with employer funding of $800 for employee-only coverage or $1,600 for dependents
- $150 monthly medical opt-out credit for waiving the health plan
- Life insurance and disability coverage for income protection
- Flexible Spending Accounts for pre-tax health and caregiving expenses
- Pre-tax commuter program
Frequently Asked Questions
Is the Applied Scientist Intern position remote?
Yes, the role is fully remote within the U.S., though interns are required to meet in person for team collaboration once or twice during the internship for 2 to 4 consecutive days at a time.
What is the expected salary for this internship?
The anticipated base salary range for this U.S. remote position is $141,000 to $150,000 USD, with exact pay depending on geographic location, skills, experience, and education.
What education level is required to apply?
Applicants must be on track to graduate by 2028 with a Bachelor, Masters, or PhD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.