My team is currently building out Snaps' ML Platform which powers Snap's power Growth, Content and Ads recommendation/ranking. The platform handles the training of thousands of ML Models - evaluating trillions of predictions per day.
We have several roles open
- Performance engineers with C++/CUDA performance expertise to optimize and scale our inference
- Distributed systems infrastructure expertise to scale our 'feature store'
- Recommendation system infrastructure experience to power our retrieval and ranking services for Ads, Content and Growth objectives