Machine Learning Engineer Intern at Upstart

About UpstartUpstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races ages and genders while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly with zero documentation to upload.Upstart is a digital-first company which means that most Upstarters live and work anywhere in the United States. However we also have offices in San Mateo California; Columbus Ohio; Austin Texas; and New York City NY (opening Summer 2026).Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart wed love to hear from you!The TeamMachine Learning is at the heart of Upstarts business model our models are the product. Our team includes research scientists data scientists and machine learning engineers who build and improve production models and the systems around them across the funnel: underwriting and pricing fraud detection performance marketing loan servicing and fair lending/explainability. We tackle highimpact problems from underwriting and pricing to monitoring and fairness where creativity rigor and strong engineering directly move the business.The RoleAs a Machine Learning Engineering Intern at Upstart youll build tools and productiongrade code that make our models better and our researchers faster (think MLE: Code Better Code). You will implement algorithmic improvements that boost predictive power training efficiency or serving latency; design reliable data/feature pipelines; and automate repeatable workflows that reduce time from research to deployment and monitoring. Youll receive mentorship from experienced ML practitioners and collaborate closely with ML scientists to deliver solutions to realworld engineering problems.How youll make an impact:Deliver projects that improve model performance efficiency latency or reliability.Write production-grade code i.e. tested reviewed and scalable Python.Communicate findings clearly to get buy-in for recommended next steps. Work with your mentor toalign stakeholders and drive next steps.Minimum qualificationsStrong academic credentials with an ongoing bachelors or masters degree in computer science physics machine learning or other quantitative areas of study. We require that you are on track to graduate by the summer of 2027 (our internship program is not open to first- and second-year undergraduates).Programming skills in Python.Proficiency across machine learning numerical computing and software engineering fundamentals. Foundations in probability and statistics.Strong sense of intellectual curiosity humility drive and teamwork as well as communication skills.Preferred qualificationsPhD studies or post-doctoral research in computer science physics machine learning or other another quantitative field. If you are a PhD student we require that you are on track to graduate by the summer of 2027.Experience building models and conducting statistical or quantitative research.Experience building ML tooling or solving realworld ML engineering problems in industry (e.g. data pipelines evaluation frameworks training/serving) such as through prior internships.Position location This role is available in the following locations: RemoteTime zone requirements The team operates on the East/West coast time zones.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. The in-person sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.#LI-InternshipAt 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 locationwith 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$141000$150000 USDUpstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures backgrounds perspectives and experiences and know that we can only become better together.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 Experience:Intern Key Skills Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic Employment Type : Intern Experience: years Vacancy: 1