Upstart, a leading AI lending marketplace, is seeking a Senior Software Engineer to join their Machine Learning Platform team. This role is crucial in building and developing the technology and tools that power Upstart's machine learning capabilities.
As a Senior Software Engineer on the ML Platform team, you'll be at the forefront of building an MLOps platform that supports machine learning training, process automation, model deployment, and monitoring. Machine Learning is fundamental to Upstart's core business, serving as their primary competitive advantage in innovating their AI engine rapidly.
The position offers flexibility with multiple location options including Remote, San Mateo, Columbus, and Austin. The team operates on East/West Coast time zones and has quarterly on-site collaboration sessions (3 days per quarter) at an Upstart office, with travel expenses covered by the company.
Your impact will be significant as you'll be responsible for developing high-quality software applications that enable machine learning models to adapt to business needs, creating infrastructure for research scientists, and ensuring model training and deployment processes are automated and efficient.
The ideal candidate brings 5+ years of software engineering experience, with at least 2 years specifically in building/contributing to in-house Machine Learning Platforms. You should have experience leading mid-large sized teams, working with backend services, and be proficient in technologies like Python, TypeScript, and AWS.
Upstart offers a comprehensive benefits package including competitive compensation with base salary, bonus, and equity, full health coverage, 401(k) matching, ESPP, generous leave policies, and various reimbursement programs. The company maintains a digital-first approach while fostering a culture of collaboration through regular team events and interest groups.
Join Upstart to be part of a team that's revolutionizing lending through AI, working with cutting-edge machine learning technologies, and making a real impact on financial accessibility.