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Machine Learning Engineer

Salary

$0.1232k - $0.1705k

Min Experience

0 years

Location

remote

JobType

full-time

About the role

Apply now for Machine Learning Engineer job at Upstart (REMOTE). ––– 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

About the company

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.

Skills

python
machine learning