Staff ML Engineer - Ads ML Infrastructure
Cupertino; New York City
USD 175K-312K (estimate) Senior-level Full Time
Tasks
- Build feature store and vector database tooling
- Build low latency ML serving platforms
- Create developer experience automation for ML workflows
- Design and develop secure scalable back end systems
- Design and optimize GPU kernels
- Develop hybrid online offline serving patterns
- Implement distributed inference using Ray
- Lead evaluation and adoption of ML serving technologies
- Manage model lifecycle
- Mentor engineers through code and design reviews
- Optimize model quantization and inference performance
- Support real-time and batch inference
- Tune performance and troubleshoot issues
Perks/Benefits
- N/A
Skills/Tech-stack
Deep learning | Distributed Systems | Feature Stores | GPU Kernels | High Performance | High-Performance Computing | Machine Learning | Model Quantization | ONNX | ONNX Runtime | Performance Computing | PyTorch | Python | RPC | Ray | Tensor Parallelism | TensorFlow | TensorRT | VLLM | Vector Databases
Education
Regions
Countries
States
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