Senior Machine Learning Engineer, Upstart

• Bachelors with 4+years of software engineering experience in ML or ML-adjacent teams
• Experienced and proficient in Python programming
• Experience working with most of the following technologies: machine learning libraries such as numpy, pandas and sklearn; orchestration tools; public cloud infrastructure; containers; backend programming languages

Desirable

• Upstart’s ML Integrity Explainability team is focused on research and development related to AI Explainability
• This includes researching and developing the methodology behind how we explain model-based credit decisions
• This function is essential for Upstart to ensure that our models are compliant, robust, and are able to engender trust with a variety of external stakeholders, including lending partners, investors, and consumers
• As a Senior Machine Learning Engineer on our team at Upstart, you will be an integral part of the Explainability team ensuring fair lending compliance of model-based decisions on the platform
• You will influence and implement the team’s long term vision for systems generating model explanations at Upstart including but not limited to: increasing productivity through better software and infrastructure, automating model training, building efficient interfaces for internal and external parties to interact with and understand our models, developing a robust model monitoring protocol, and ensuring coding best practices
• Build repeatable workflows and automation that enables faster and more flexible model updates and research flows
• Define and enforce best engineering practices across the team, helping scientists uplevel their technical skills
• Discover and develop a short and long-term roadmap of engineering improvements on the explainability team
• Interface cross-functionally with other engineering teams (data engineering, machine learning platform, pricing, and growth software engineering), to provide feedback and requirements, so that we can build high-quality systems end-to-end
• Build, maintain, and improve methodologies and tooling for interacting with and understanding model decisions across Upstart’s platform