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.
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.
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
- 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
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Insurance
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