Job Details
Location:
651 Brannan St, San Francisco, CA 94107, USA
Posted:
Sep 06, 2019
Job Description
Engineering Software Engineer, Serving Systems
San Francisco
The Serving Systems team is responsible for a broad range of high throughput and low latency distributed systems. These include ML feature store, ML online infra, various data intensive systems built on distributed replicated RocksDBs and HDFS. This team plays a vital role in building next generation infrastructure to power more real-time and personalized discovery experiences on Pinterest.
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What you’ll do : - Build, own and improve innovative, high throughput, low latency stateful serving systems with rich data model
- Build ML serving platform to do hundreds of millions of ML inferences per second with low latency
- Build ML feature store
- Contribute to open source technologies like RocksDB, Helix, Tensorflow, PyTorch, etc
- Continually improve operability, scalability, efficiency, performance and reliability of core serving systems at Pinterest
What we’re looking for : - At least 3 years of industry experience in software engineering.
- Deep expertise on building distributed systems at consumer Internet scale
- Deep expertise on distributed storage and caching systems
- Strong ability to work cross functionally with product teams and other infrastructure teams
- Fluent in C++ and/or Java
- BS/MS/PHD in Computer Science, Engineering, or a related technical discipline or equivalent experience
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