Senior Software Engineer, Upstart

• 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
• Exhibits a growth mindset - you’re not afraid to pick up new technologies that are best for the task, and learn from others
• 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

Desirable

• The Machine Learning & Simulations Platform (MLSP) team builds and operates the core infrastructure that powers ML model training, inference, and marketplace simulation at Upstart
• Our platform is foundational to the company’s success—every underwriting, fraud, conversion, and verification model runs here
• We also provide the simulation capabilities that help teams experiment safely and assess business impact without requiring costly live experimentation
• We are on a mission to reimagine our infrastructure to support the growing complexity of our ML models, the demand for low-latency inference, and the accuracy needed to simulate the dynamics of our borrower-lender marketplace at scale
• The team partners closely with Engineering, ML, Product, and Finance to accelerate innovation while safeguarding performance and integrity
• As a Senior Software Engineer on the MLSP team at Upstart, you will be responsible for building an MLOps platform to support machine learning model inference, process automation, model deployment, and observability
• 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
• You will also help build a marketplace simulation platform to support rapid innovation across ML and Finance teams
• 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