Senior Machine Learning Engineer
Tasks
- Apply quantization pruning and knowledge distillation
- Deploy machine learning models to production systems
- Develop lightweight machine learning models for edge AI
- Improve inference efficiency and model compression
- Integrate machine learning models with hardware and software teams
- Optimize machine learning models for embedded platforms
- Provide technical leadership and mentorship
- Publish research findings and present at conferences
- Research state-of-the-art machine learning techniques
Perks/Benefits
- N/A
Skills/Tech-stack
AI Chip SDK | AI chip | ARM Ethos | C++ | Edge AI | Embedded Systems | Executorch | JAX | Knowledge Distillation | Machine Learning | Model Pruning | Model Quantization | NVIDIA TensorRT | Neural Networks | ONNX Runtime | On-device Inference | PyTorch | Python | Qualcomm Neural Processing SDK | TVM | TensorFlow | TensorFlow Lite
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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