Machine Learning Engineer
Machine Learning Engineer
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Job Description
About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace Upstartpowered banks and credit unions can have higher approval rates and lower loss rates across races ages and genders while simultaneously delivering the exceptional digitalfirst lending experience their customers demand. More than 80 of borrowers are approved instantly with zero documentation to upload.
Upstart is a digitalfirst 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 wed love to hear from you!
The Team:
Upstarts Machine Learning Personal Loan Underwriting team is focused on leveraging machine learning to power Upstarts underwriting models. This team is responsible for building the underwriting model which determines credit decisioning at Upstart. This model plays a central role in Upstarts 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 models predictive power
How youll 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 longterm roadmap of engineering improvements on the PL UW team
- Explore new algorithms and methodologies for our machine learning models
- Interface crossfunctionally with other engineering teams (data engineering machine learning platform pricing and growth software engineering) to provide feedback and requirements so that we can build highquality systems endtoend
Qualifications
- Education and Experience
- Phd in a quantitative field with 0 years of relevant experience
- Masters in a quantitative field with 2years of relevant experience
- Bachelors in a quantitative field with 4years 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 inperson collaborating via regular onsites. The inperson sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 24 consecutive days at a time.
What youll 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 $4500 and immediate vesting and aftertax 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 allcompany 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
#LIREMOTE
#LIAssociate
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 locationwith our digital first philosophy Upstart uses compensation regions that vary depending on location. Individual pay is also determined by jobrelated 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).
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 preemployment testing or otherwise participating in the employee selection process please email
Employment Type
Full Time
Key Skills
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