Applied Scientist, ML Systems & Compiler for Accelerators

Amazon Inc.; Seattle (WA); Hybrid; USD 172,000 - 222,000; Full time

Job summary

Amazon is seeking an Applied Scientist for the AWS Neuron Science team to advance ML software for Trainium and Inferentia accelerators. You will work with customers and engineers to identify adoption barriers and optimization opportunities, and engage with academic communities to push state-of-the-art ML systems.

The role involves developing innovative solutions, collaborating across teams, and contributing to a strategic growth area within AWS. Strong ML, compilers, and HPC knowledge are valued.

Qualifications

• PhD or Master's degree with 4+ years in CS/CE/ML or related field experience
• Experience publishing in top-tier conferences or journals
• Proficient in Java, C++, Python
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, HPC

Responsibilities

• Enhance our software stack for Trainium and Inferentia
• Identify adoption barriers and optimization opportunities with external/internal customers
• Collaborate with engineering teams to implement innovative ML solutions
• Engage with academic and research communities to advance ML systems

Skills

Java

C++

Python

Algorithms

Data mining

Parallel computing

Distributed computing

Numerical optimization

Parsing

Publications/Patents

Education

PhD

Master's degree

Job description

Amazon is seeking an Applied Scientist for the AWS Neuron Science team to advance ML software for Trainium and Inferentia accelerators. You will work with customers and engineers to identify adoption barriers and optimization opportunities, and engage with academic communities to push state-of-the-art ML systems.

The role involves developing innovative solutions, collaborating across teams, and contributing to a strategic growth area within AWS. Strong ML, compilers, and HPC knowledge are valued.