Manager, Machine Learning

Posted 2 Days Ago
Easy Apply
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2 Locations
Remote
175K-242K Annually
1-3 Years Experience
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Upstart is dedicated to improving access to credit for all. Why? Because credit really matters.
The Role
Lead a team applying machine learning methods to improve credit risk prediction for a lending product. Search for new variables to enhance underwriting models and work with the team to identify opportunities for new ML models in credit decisioning.
Summary Generated by Built In

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!

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.

As Manager of Machine Learning, you will lead a team of 2 research scientists and a data scientist on our Small Dollar Lending product, an unsecured personal lending product for small, short-term loans.  The team focuses on modeling credit risk and operational costs, and making corresponding underwriting and pricing decisions.

  • - This role is available in the following locations: Columbus, Austin, San Mateo, or Remote
  • - This team operates on either the East or West Coast time zones.
  • - 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.

  • Lead your team to apply state-of-the-art machine learning methods (e.g. recurrent neural networks, gradient boosting methods for survival time prediction, model ensembling and stacking) to a critical prediction problem (credit risk) where machine learning is not widely applied and the optimal solutions are not known.
  • Search for new variables, either internal to Upstart, or from external vendors, that can improve our underwriting models’ performance.
  • Work with the Small Dollar Lending team to identify opportunities for new ML models to be used in credit decisioning.
  • Along with your team, assume responsibility for the performance of Upstart’s loan originations for the Small Dollar Lending product.

  • Bachelor’s degree in quantitative area of study
  • 1+ years as a data science or machine learning people manager or tech lead
  • Understanding of machine learning models and statistical methods
  • Coding proficiency, preferably in Python
  • Excellent quantitative critical thinking skills

  • Advanced degree in quantitative area of study such as statistics, operations research, finance, mathematics, or related field
  • Prior experience managing teams that build machine learning models, prepare them for production, and make large, direct contributions to a business’ profitability
  • Consumer lending knowledge and/or experience within an ML-centric technology company is a plus

  • 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

$174,900$242,000 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. 

https://www.upstart.com/candidate_privacy_policy

Top Skills

Python

What the Team is Saying

Steph
Manan
Nat
May
The Company
San Mateo, CA
1,500 Employees
Remote Workplace
Year Founded: 2012

What We Do

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.

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!

Why Work With Us

Connection to our mission creates a special environment where people feel passionately about the impact they are having on the world. Upstart is fast-paced, and we encourage ownership at all levels of the organization. As a result, culture at Upstart is driven by Upstarters. Upstarters are proactive, talented, multi-dimensional and collaborative.

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Upstart Offices

Remote Workspace

Employees work remotely.

Upstart has a digital-first model enabling most Upstarters can live and work anywhere in the U.S. We also offer in-person options from our office locations in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Typical time on-site: None
San Mateo, CA

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