Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientist team summarize some of their favorite aspects of our team as:
* Having a direct impact on the company's success * Collaborative, intelligent, and open team * Mentorship, growth, and friendship * Leader committed to challenging and growing team members * Feeling safe asking for help when it's necessary; feeling trusted to get the job done when it's not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
* Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable) * Interest in helping other data scientists improve code quality in addition to conducting independent analyses * Experience optimizing models for memory and speed * Knowledge of machine learning and statistics or a strong desire to learn * 2+ years of professional experience as a data scientist or software engineer
Applying to a role on the Data Science team at Upstart:
Please apply through our website and only apply to the one position that is the best fit with your skills.
If you have applied within the past year, there is no need to apply again. We're currently reviewing all previous applications. We also consider candidates for all levels of Data Science roles when candidates apply.