Machine Learning Engineer at Stream

At Stream, we’re tackling a massive problem head-on: slashing the time, cost, and frustration of handling the 10+ billion pages of medical documents bogging down the workers’ comp industry. Our mission is to build smart, AI-driven solutions that free up professionals to focus on what matters—delivering results, not drowning in paperwork. We are a YC S22 batch Insurtech startup based in SF.

Stream’s Mission: Cut the time, cost, and hassle of managing 10B+ medical documents in workers’ comp, so professionals can focus on results, not paperwork.

We’re growing fast and are looking to bring on a Machine Learning Engineer to scale our platform and elevate our product, ensuring top-notch service for our customers.

Before Applying:

• We are in-person and work from the office 4 days a week in the Mission district
• As an early-stage startup, Stream offers you unmatched autonomy and ownership. You’ll need to make quick decisions with minimal guidance, often stepping into roles like product manager, engineer, or even sales and ops as we grow.
• We’re a team in our 30s, not college dropouts, and we care about work-life balance. That said, the startup life means going beyond 9-5 when the situation calls for it—which happens often. The Job: As a Machine Learning Engineer you are expected to develop and deploy machine learning models to production on a regular basis, contributing to our mission of streamlining medical document management in the workers' compensation industry. You will also play a key role in shaping our AI strategy and processes as we grow.

In This Role, You Will:

• Design and implement machine learning solutions to process and extract insights from medical documents

• Integrate these models into our existing backend infrastructure

• Stay current with the latest advancements in machine learning and AI to continuously improve our product Our Tech Stack Includes:

• Serverless computing with AWS Lambdas and Fargate (Python)

• CDK and GitHub actions for CI/CD

• DynamoDB and Redshift for data storage

• Svelt (Typescript) + SST for web applications

• Various large language models (LLMs), embedding models, and traditional AI models Benefits: In addition to health/dental/vision insurance and 401k benefits, we provide daily lunch, monthly outings, and a group of extremely passionate, curious and smart people to work with