Join to apply for the Machine Learning Engineer role at Stream Join to apply for the Machine Learning Engineer role at Stream This range is provided by Stream. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $150,000.00/yr - $185,000.00/yr 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.

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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 withSeniority level Seniority levelEntry level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesInsurance Referrals increase your chances of interviewing at Stream by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. Redwood City, CA $167,200.00-$250,800.00 2 weeks ago San Francisco, CA $130,000.00-$230,000.00 6 months ago San Francisco, CA $140,670.00-$195,400.00 5 days ago San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$215,000.00 1 month ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$160,000.00 4 months ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $115,000.00-$185,000.00 4 days ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $88,000.00-$140,000.00 1 month ago Machine Learning Engineer, Identity Product San Francisco, CA $212,000.00-$318,000.00 4 days ago San Francisco, CA $160,000.00-$185,000.00 20 hours ago San Francisco, CA $140,000.00-$290,000.00 7 months ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $190,000.00-$355,000.00 1 day ago San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 8 months ago Machine Learning Engineer, AI (FULLY REMOTE) San Francisco, CA $175,000.00-$250,000.00 3 weeks ago AI/ML Engineer (Founding Technical Team) San Francisco, CA $145,000.00-$175,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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