Machine Learning - Compiler Engineer II, Annapurna Labs
Amazon
Seattle, WA, US
Not specified; not specified; not specified
On-site
Deep learning compiler development
Neural network optimization
Aws neuron sdk integration
The role involves architecting and implementing business-critical features for a ground-up developed compiler handling the world's largest ML workloads
Job Summary
The role involves architecting and implementing business-critical features for a ground-up developed compiler handling the world's largest ML workloads.
Candidates will leverage technical communication skills as hands-on partners to AWS ML services teams and participate in pre-silicon design.
The team fosters an inclusive culture with mentorship opportunities, focusing on creating a toolchain that provides a quantum leap in performance.
Matching Summary
The role involves architecting and implementing business-critical features for a ground-up developed compiler handling the world's largest ML workloads.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Deep learning compiler development
Neural network optimization
AWS Neuron SDK integration
PyTorch TensorFlow MxNet frameworks
Silicon design collaboration
Nice-to-have
Background in AI accelerators
Publishing cutting-edge research
Technical communication skills
Hands-on partnership with services teams
Key Requirements
Machine Learning Compiler Engineer II level experience
Experience with ML frameworks like PyTorch or TensorFlow
Background in machine learning and AI accelerators preferred