Applied Scientist II: ML Systems & Compiler Optimizations

Amazon; Cupertino (CA); On-site; USD 171,600 - 222,200; Full time

Benefits offered by this job

RSUs

Sign-on bonuses

Health insurance

Job summary

Amazon's AWS Neuron Science Team in Cupertino, CA is seeking talented scientists to enhance our software stack and accelerate customer adoption of Trainium and Inferentia accelerators. You will work with customers, engineers, and researchers to identify optimization opportunities and implement innovative ML solutions.

This role involves collaborating with academic communities, publishing or applying advanced ML methods, and contributing to the Compute, Database, and Platform portfolios.

Qualifications

• PhD or Master’s degree with 4+ years in CS/CE/ML or related field.
• Experience with patents or publications at top-tier conferences or journals.
• Proficiency in Java, C++, Python.

Responsibilities

• Work directly with customers to identify adoption barriers and optimization opportunities.
• Collaborate with engineering teams to implement innovative solutions.
• Engage with academic and research communities to advance ML systems.
• Support product innovations across AWS services, including security solutions.

Skills

Java

C++

Python

Algorithms

Data structures

Parallel and distributed computing

Education

PhD

Master's degree

Job description

Amazon's AWS Neuron Science Team in Cupertino, CA is seeking talented scientists to enhance our software stack and accelerate customer adoption of Trainium and Inferentia accelerators. You will work with customers, engineers, and researchers to identify optimization opportunities and implement innovative ML solutions.

This role involves collaborating with academic communities, publishing or applying advanced ML methods, and contributing to the Compute, Database, and Platform portfolios.