ML Accelerator Scientist — Pre-Silicon Verification

Amazon; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon is seeking an Applied Scientist for the Machine Learning Accelerator team at Annapurna Labs in Seattle. This role focuses on developing frameworks for custom machine learning chips, collaborating with design verification engineers and hardware architects to create innovative solutions.

The ideal candidate should have a PhD or Master's along with significant experience in model building, programming, and understanding instruction set architectures. Join us and be a part of groundbreaking projects!

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master’s degree and 4+ years in CS, CE, ML or related field.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Responsibilities

• Develop understanding for a custom machine learning instruction set architecture.
• Model correctness of instruction streams using first order logic.
• Create custom APIs for scheduling and randomness control.

Skills

Model building

Programming in Java

Programming in C++

Programming in Python

Algorithms and data structures

Data mining

Numerical optimization

Parallel and distributed computing

High-performance computing

Education

PhD or Master's degree in CS, CE, ML or related field

3+ years of business application modeling experience

Tools

Unix/Linux

Job description

Amazon is seeking an Applied Scientist for the Machine Learning Accelerator team at Annapurna Labs in Seattle. This role focuses on developing frameworks for custom machine learning chips, collaborating with design verification engineers and hardware architects to create innovative solutions.

The ideal candidate should have a PhD or Master's along with significant experience in model building, programming, and understanding instruction set architectures. Join us and be a part of groundbreaking projects!