Applied Scientist: ML Systems & Accelerator Optimization

Amazon; Seattle (WA); On-site; USD 136,000 - 223,400; Full time

Benefits offered by this job

Flexible work environment

Mentorship and career growth opportunities

Comprehensive benefits package

Job summary

A leading cloud platform is seeking talented scientists for the AWS Neuron Science Team to enhance their software stack and accelerate customer adoption of ML accelerators. You will work closely with customers and engineering teams to address key challenges and opportunities in machine learning. The ideal candidate has a PhD in a related field, experience with ML frameworks, and strong programming skills. This role offers competitive compensation and promotes a diverse, inclusive work culture.

Qualifications

• PhD in computer science, computer engineering, or related field.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience in algorithms, data structures, and high-performance computing.

Responsibilities

• Work with customers to identify adoption barriers and optimization opportunities.
• Collaborate with engineering teams to implement innovative ML solutions.
• Engage with communities to advance state-of-the-art ML systems.

Skills

Machine Learning

Programming in Java

Experience with algorithms

Data mining

Numerical optimization

Education

PhD in computer science or related field

Tools

Unix/Linux

MxNet

TensorFlow

Job description

A leading cloud platform is seeking talented scientists for the AWS Neuron Science Team to enhance their software stack and accelerate customer adoption of ML accelerators. You will work closely with customers and engineering teams to address key challenges and opportunities in machine learning. The ideal candidate has a PhD in a related field, experience with ML frameworks, and strong programming skills. This role offers competitive compensation and promotes a diverse, inclusive work culture.