Staff Machine Learning Engineer
Tasks
- Architect ML ecosystem
- Bridge ML software with hardware teams
- Build AI in the loop active learning
- Build human in the loop labeling
- Collaborate with RTL designers
- Define model security and verification framework
- Design MLOps pipelines
- Design autonomous agents for edge devices
- Develop on device monitoring for inference quality
- Implement computer vision pipelines
- Implement data processing and versioning
- Implement real time log analysis
- Implement secure protocols and authentication
- Lead model optimization for NPU
- Optimize ML graphs and operators
- Prevent model injection
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Active Learning | Apache TVM | Argo | Azure | C++ | CI/CD | Computer Architecture | Computer Vision | Data Versioning | Device Monitoring | Digital Logic | FPGA | GCP | Graph optimization | Human-in-the-loop | Kubeflow | Kubernetes | LLMs | Log Analysis | MLIR | MLOps | Machine Learning | Model Security | Model signing | On Device Monitoring | Operator optimization | PyTorch | Python | RISC-V | RTL | Rust | Secure Communication | TensorFlow | The Loop | Transformers | VHDL | Verilog | Yocto
Education
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