Senior Software Engineer - Expert Contributor Lifecycle
Snorkel AI · Redwood City, CA (Hybrid) | San Francisco, CA (Hybrid) · 312 - Engineering
About this role
Snorkel AI is hiring a senior-level Software Engineer based in Redwood City, CA (Hybrid) | San Francisco, CA (Hybrid) (hybrid). The posting calls out experience with AWS, Kubernetes, Docker, Terraform. Compensation is listed at $190,000–$240,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Redwood City, CA (Hybrid) | San Francisco, CA (Hybrid)
- Work mode
- Hybrid
- Department
- 312 - Engineering
More roles at Snorkel AI
Job description
from Snorkel AI careersAbout Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.