Amazon Sr ML Architect 

United States, California, Sunnyvale 

916121631

Key job responsibilities
What will you do?
• Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine
• Propose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our accelerator
• Collaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devices
• Deliver hardware architecture, microarchitecture and other design collateral for our next generation ML accelerators
• Build tools for modeling and performance evaluation to enable power, performance, cost options and trade offs
• Work with full stack silicon designers to realize the architecture on silicon.

- Experience with neural deep learning methods and machine learning
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of designing HW IP preferably for machine learning workloads

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience programming in HDL like Verilog, VHDL or HLS (High Level Synthesis)