Upstart is looking to reimagine its infrastructure to support the growing complexity of its ML models, the demand for low-latency inference, and the accuracy needed to simulate the dynamics of its borrower-lender marketplace at scale.
Requirements
- 6+ years of software engineering experience including several building and contributing to in-house Machine Learning Platforms
- Experience building and maintaining backend software services and APIs
- Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS
- Familiarity with model serving technologies like Ray, simulation platforms, experimentation frameworks
- Proficiency with Flask, FastAPI, Metaflow, MLflow, gRPC, Kafka, Spark/PySpark, ETL/ELT, Redshift (or similar)
Responsibilities
- Build, maintain, and optimize Upstart's next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning
- Develop high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
- Enable the modernization of our serving infrastructure, reducing inference latency to just a few seconds for our most complex models
- Design and contribute to our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams
- Communicate closely with cross-functional partners from ML, Engineering, Product, and Data Engineering teams, keeping all stakeholders informed
- Mentor engineers across the team, sharing expertise on distributed systems, MLOps, and scalable architecture
Other
- Ability to quickly comprehend and reiterate complex requirements from product or engineering leadership and translate those to both technical and non-technical stakeholders
- Track record of successfully mentoring and developing other engineers around you while seeking out and appreciating constructive feedback
- Strong sense of ownership and accountability for the quality and timely delivery of work
- 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 dynamic
