About Upstart
Upstart is a 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 two-thirds of Upstart loans are approved instantly and are fully automated.
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 Platform team has a mix of professionals with different areas of deep expertise - from machine learning model development, training, and deployment, to cloud infrastructure, CI/CD, workflow orchestration, automation, and much more. The ML Platform team owns all services and infrastructure powering Upstart’s machine learning models, and plays a critical role in the continuous improvement of model performance and efficiency.
As a Senior Software Engineer on the Machine Learning Platform team, you will be responsible for building out the core applications and infrastructure that supports the end-to-end machine learning lifecycle across all of Upstart’s core products. Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re 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 across all U.S. time zones
Travel Requirements - This team has regular on-site collaboration sessions. These occur 3-5 days per quarter at one of our office locations. If you need to travel to make these meetups, Upstart will cover all travel-related expenses.
How you’ll make an impact:
- Build, maintain, and monitor high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
- Develop the scaffolding and infrastructure that allows research scientists to more rapidly iterate and train large scale machine learning models
- Enable new data and capabilities for machine learning research and simulation to uplevel production model performance
- Work with data engineers, research scientists, and other software engineers on cross-functional efforts to improve how machine learning models are trained and experimented on
What we’re looking for:
- Minimum requirements:
- 5+ years of backend software engineering experience
- Experience building and maintaining backend software services and APIs
- Experience with cloud compute, services, containerization, continuous integration and deployment (CI/CD) and testing frameworks
- Experience with some or many of the following: Python, Kotlin, interactive notebooks (e.g. Jupyter), AWS, Kubernetes
- Good understanding of software development principles and best practices for creating scalable and maintainable systems
- Preferred qualifications:
- Experience with Databricks, Pandas, and PySpark for machine learning training data pipelines, and machine learning orchestration frameworks such as Metaflow
- 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 self-directed work environments and in collaborative settings, contributing positively to team dynamics
What you’ll 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 $4,500 and immediate vesting and after-tax 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, all-company 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
#LI-REMOTE
#LI-MidSenior
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 location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related 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).
United States | Remote - Anticipated Base Salary Range
$160,400—$222,000 USD
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 pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]
https://www.upstart.com/candidate_privacy_policy
