Machine Learning Engineer

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