Machine Learning Engineer 1255 views

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Their 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 no other lender considers allow them to give people fair rates they deserve, so your role at Upstart will drastically impact their company’s success.

Members of their team summarize some of their favorite aspects of the group as:

• Having a direct impact on the company’s success
• Collaborative, intelligent and open team
• Mentorship, growth and friendship
• Leaders 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

They are looking for a Machine Learning Engineer who enjoys working in a very fast-paced environment. Because their 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  this could be the right role for you, they would like to learn more about you.

Hiring Profile:

• 2+ years of professional experience as a data scientist or software engineer

• Experience in productionalizing, deploying, and training machine learning models (they 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

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.

When applying, please know they consider candidates for all levels of Data Science roles.