Staff ML Engineer - Ads ML Infrastructure
Cupertino; New York City
USD 175K-312K (estimate) Senior-level Full Time
Tasks
- Build ML serving platforms
- Build feature stores
- Deploy vector databases
- Design and optimize GPU kernels
- Design low-latency inference systems
- Develop secure scalable backend systems
- Enable model lifecycle management
- Implement distributed inference workloads
- Improve developer experience for ML workflows
- Lead evaluation and adoption of ML technologies
- Mentor engineers through code and design reviews
- Optimize model quantization and inference
- Support real-time and batch inference
- Tune and troubleshoot system performance
Perks/Benefits
- N/A
Skills/Tech-stack
Deep learning | Distributed Systems | Feature Store | Federated Learning | GPU Kernels | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Quantization | ONNX Runtime | Privacy-preserving | Privacy-preserving machine learning | RPC | Ray | Tensor Parallelism | TensorRT | VLLM | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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