Senior Machine Learning Engineer - San Jose
1 month ago

+ Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
+ Work closely with hardware and software teams to integrate ML models into production systems.
+ Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.<+ Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.<+ Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.+ Provide technical leadership and mentorship to junior engineers.+ Publish research findings,Requirements<+ 5+ years of experience or PhD in Computer Science,, Electrical Engineering,, or related fields.+ Strong experience in machine learning,with a focus on edge AIand lightweight model deployment.,
The salary range is $110K-$300K per year.
Job description
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