Job description

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. Our offerings include personal, auto, and small business loans, and we plan to expand into more verticals as our business grows.

Upstart is a digital-first company, which means that most Upstarters can live and work anywhere in the U.S. We also have offices in San Mateo, CA; Columbus, OH; and Austin, TX.

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

Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of full-stack applied science generalists as well as specialists in research, data science, statistical modeling and machine learning.

The fundamental goal of the Machine Learning team is to explore new models and new data sets that can improve the accuracy of our models. With this goal comes near-limitless challenges to tackle, and that is one of the reasons why Upstart is such a unique opportunity.

The Role

As a Machine Learning Manager , you will guide and help our Research Scientists, Data Scientists and Machine Learning Engineers on our Machine Learning Team achieve their potential to make Upstart an even better place to work. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to advance our business and mission of making credit more fair and affordable.

The Machine Learning Manager will lead teams of up to 4-7 research scientists and data scientists. The Manager will lead, guide and participate in the full scope of work. Managers on the team will collaborate with each other for planning as well as evaluating productivity and engagement in order to achieve excellence.

Position Location - This role is available in the following locations: Columbus, Austin or Remote (#LI-REMOTE)
Time Zone Requirements - This team operates on either the East or West Coast time zones.
Travel Requirements - This team has regular on-site collaboration sessions. ML Managers can anticipate working in either HQ 3 days/week 6 times/year. Since this is a leadership position, a few additional travel dates may be possible for onsite collaborations with other teams. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

What we’re looking for:
5+ years of experience research science/machine learning with people leadership experience and an interest in guiding and building an elite Machine Learning team
Strong academic credentials with a master's degree in statistics, machine learning, mathematics, computer science, or other quantitative area of study; Ph.D. preferred
Passion for mentoring with the ability to deliver constructive feedback to bring out the best in a team and help direct reports grow in their careers
Detailed understanding of building good technical solutions with ability to galvanize a technical team into solving a problem, breaking large projects into smaller pieces to meet deadlines; ability to convert ideas into testable hypotheses and/or next steps
Experience with all steps of the modeling process from ideation to productionalizing code
Comfort with programming in Python
Knowledge of machine learning, pipelines and engineering architecture helpful
Background working with teams in multiple locations helpful
Preference for backgrounds in product-based technology companies or in roles where data science directly impacts a company’s bottom line (for example, high stakes quantitative trading or hedge funds)
Enthusiasm for and alignment with Upstart’s mission and values
Demonstrated business acumen and quantitative thought leadership
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Ability to operate at a speedy pace in research or implementation
Numerically-savvy and smart, with an appropriate tolerance for risk
Ability to leverage personal influence and connections to attract top talent

What you’ll love:
Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage
Personal Development and Technology & Ergonomic Budgets
Life insurance and disability benefits
Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)
Generous vacation policy
401(k) and Employee Stock Purchase Plan (ESPP)
Catered lunches + snacks & drinks

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 this range: $155,400-$215,000. 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). Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.

(#LI-REMOTE) (#LI-MidSenior)

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.

https://www.upstart.com/candidate_privacy_policy

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