Senior Software Engineer Machine Learning Platform
Senior Software Engineer Machine Learning Platform
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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 ML Platform team is the engineering team responsible for designing and developing the technology and tools that underpin Upstarts machine learning team is focused on supporting Upstarts ML teams in converting research ideas to production models.
As a Senior Software Engineer on the ML Platform team youll be responsible for building an MLOps platform to support machine learning training process automation model deployment and monitoring. Machine Learning is critical to Upstarts core business and our greatest competitive advantage lies in the fact that were able to innovate on our AI engine quickly.
Position Location This role is available in the following locations: Remote San Mateo Columbus Austin
Time Zone Requirements This team operates on the East/West Coast time zones.
Travel Requirements This team has regular onsite collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups Upstart will cover all travel related expenses.
How youll make an impact:
- Build maintain and optimize highquality software applications that enable machine learning models to be applied to the everevolving needs of the business
- Develop the scaffolding tooling and infrastructure that allows research scientists to iterate and train large scale machine learning models
- Enable rapid experimentation and iteration in model training code so that we can continuously improve our models
- Build the infrastructure that provides research scientists the ability to access the data and features they need to enhance our models
- Work with Data Engineers DevOps Engineers and Research Scientists to ensure that model training and deployment is a repeatable process that relies heavily on automation and workflows (not humans)
What were looking for:
- Minimum requirements:
- 5 years of software engineering experience
- 2 years of experience building and/or contributing to the advancement of inhouse Machine Learning Platforms that enable stakeholders such as modelers or MLfocused Scientists
- Experience as a technical lead of midlarge sized teams working on crossfunctional projects
- Experience building and maintaining backend software services and APIs
- Experience with big data ETL cloud compute services containerization continuous integration and deployment (CI/CD) and testing frameworks
- Experience with some or many of the following: Python Typescript interactive notebooks (Jupyter/Databricks) and AWS
- Good understanding of software development principles and best practices for creating scalable and maintainable systems
- Preferred qualifications:
- Familiarity with cluster compute architectures (i.e.: Kubernetes serverless architectures such as AWS Lambda Batch) Databricks and/or Spark ETL
- Excellent quantitative reasoning skills with interest in working at the intersection of engineering and machine learning
- Strong sense of ownership and accountability for the quality and timely delivery of work
- Proven ability to effectively analyze and solve complex problems
- Excellent written and verbal communication skills with stakeholders peers and product owners
- Ability to thrive both in selfdirected work environments and in collaborative settings contributing positively to team dynamics
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
#LIMidSenior
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
Senior IC
Employment Type
Full Time
Key Skills
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