Machine Learning Engineer

Posted 3 Days Ago
Easy Apply
2 Locations
Remote
123K-171K Annually
Junior
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
As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.
Summary Generated by Built In

About Upstart

Upstart is the 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 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; 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: 

Upstart’s Machine Learning, Personal Loan Underwriting  team is focused on leveraging machine learning to power Upstart’s underwriting models. This team is responsible for building the underwriting model which determines credit decisioning at Upstart. This model plays a central role in Upstart’s overall performance as a company and includes numerous challenging problems to solve.


As a Machine Learning Engineer, PL UW  at Upstart, you will collaborate with our Research Scientists, Data Scientists,  and other engineering departments. Your work will impact the team in a number of ways:

  • You will increase ML productivity through better software and infrastructure; and improve how we research, train, deploy, serve and monitor our models. 
  • You will reduce the time it takes to go from idea to production, and enable us to test out new ideas. This will all manifest in us delivering on our critical mission of enabling access to credit more effectively.
  • You will design and implement code and algorithms to help improve our model’s predictive power


How you’ll make an impact

  • Build repeatable workflows and  automation that enables scientists to spend more time on high leverage tasks (methodology, writing, analysis) and less on keeping the lights on or getting things to run
  • Discover and develop a short and long-term roadmap of engineering improvements on the PL UW team
  • Explore new algorithms and methodologies for our machine learning models
  • Interface cross-functionally with other engineering teams (data engineering, machine learning platform, pricing, and growth software engineering), to provide feedback and requirements, so that we can build high-quality systems end-to-end


Qualifications 

  • Education and Experience
    • Phd in a quantitative field with 0+ years of relevant experience
    • Masters in a quantitative field with 2+years of relevant experience
    • Bachelors in a quantitative field with 4+years of relevant experience
  • Experience in Python
  • Experience with Machine Learning


Position location This role is available in the following locations: Remote


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-Associate 

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 [email protected]

https://www.upstart.com/candidate_privacy_policy

Top Skills

Machine Learning
Python

What the Team is Saying

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The Company
HQ: San Mateo, CA
1,500 Employees
Remote Workplace
Year Founded: 2012

What We Do

Upstart is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart's AI, lenders can approve more borrowers at lower rates across races, ages, and genders, while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans.

If you are energized by the impact you think you could 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 make in 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
HQSan Mateo, CA
Austin, TX
Columbus, OH
Learn more

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