About Upstart
Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's 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 two-thirds of Upstart loans are approved instantly and are fully automated.
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; and Austin, Texas.
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, we’d love to hear from you!
The Team:
The ML Auto team builds production ML models to underwrite all auto loans issued by Upstart. These models assess the true risk of our borrowers using the latest methodologies and are at the core of the company value creation.
As a Research Scientist in ML Auto at Upstart, you will work in a fast-paced team with a focus on feature research, model improvement and model deployment. You will directly work on business critical models, contribute to some of the most important business metrics and tackle some of the following challenges:
- Develop new model architectures
- Understand and develop features from new data sources
- Understand the impact of the macroeconomic environment on our borrowers
- Work in a startup within the broader Upstart organization
How you’ll make an impact
Autonomously develop and deploy production modelsContribute to a high-quality modeling codebase in PythonQuickly prototype and test ideasResearch novel modeling techniquesWork collaboratively with a cross-functional team consisting of research scientists, software engineers and product managers
Minimum Qualifications
- Excellent critical thinking
- Bachelor’s degree in a scientific discipline (Math, Physics, Computer Science)
- 2+ years of experience in Machine Learning or a similar field
- Proficiency in a programming language (Python preferred)
- Proficiency in Statistical/Probability/Machine Learning theory
- Ability to communicate effectively to a non-technical audience
Preferred Qualifications
- Masters or PhD in a quantitative discipline (Math, Physics, Economics, Computer Science)
- 4+ years of experience in Machine Learning or a similar field
- Experience leading junior members in a technical team
- Deep expertise in a programming language (Python preferred)
- Deep expertise in Statistical/Probability/Machine Learning theory
- Excellent communication skills to a non-technical audience
- Based in the Bay Area
Position location This role is available in the following locations: Remote. Preference for the Bay Area.
Time 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.
What you'll love:
- Competitive Compensation (base + bonus & equity)
- Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
- 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
- Employee Stock Purchase Plan (ESPP)
- Life and disability insurance
- Generous holiday, vacation, sick and safety leave
- Supportive parental, family care, and military leave programs
- Annual wellness, technology & ergonomic reimbursement programs
- Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
- Catered lunches + snacks & drinks when working in offices
#LI-REMOTE
#LI-MidSenior
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
$123,200—$170,500 USD
Upstart 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 candidate_accommodations@upstart.com