ML Engineer
Raindrop, San Francisco, California
The role
We’re looking for an ML Engineer to make Raindrop’s issue detection sharper, faster, and cheaper. You’ll own the models that find anomalies across hundreds of millions of agent events, from training through production, on an early team where your work reaches customers quickly.
What you will do
- Design, build, and scale the ML pipelines behind Raindrop’s issue detection.
- Train, evaluate, and deploy models, and monitor their quality in production.
- Iterate quickly without sacrificing quality.
- Work with customers to understand how their agents fail and what they need to catch.
- Bring new detection methods into production.
What you need
- Ownership of ML systems end to end, from data and training through deployment and monitoring.
- A track record of shipping models to production that real users depend on.
- Experience scaling applications that serve millions of requests.