Senior Software Engineer - Machine Learning Platform

Upstart

Posted 21d ago

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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
Build self-service tooling so ML teams can register features and deploy models independently, and reduce the manual work the platform team absorbs today
Deliver the data and feature infrastructure behind every model, including feature definition, storage, serving, and offline to online parity
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

6+ years of software engineering experience
Experience building and maintaining backend software services and APIs
Experience with distributed systems or large scale data processing, using Spark, Databricks, Ray, or an equivalent
Experience with an ML platform or the ML production path, such as training pipelines, model serving, feature pipelines, or a training data platform
Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS
Exhibits a growth mindset
Ability to quickly comprehend complex requirements from ML, product, or engineering leadership, and translate them for both technical and non-technical partners

Skill with Metaflow, MLflow, gRPC, Spark/PySpark, dbt, Ray, GPU
Knowledge of simulation, experimentation, or backtesting systems
Experience building self-serve or configuration driven tooling for internal users
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
Excellent written and verbal communication skills with partners, peers, and product owners
Ability to thrive in self-directed work and in collaborative settings, contributing positively to team dynamics

Skills