Applied Scientist II, Annapurna ML

Overview

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities, collaborate closely with engineering teams to implement innovative solutions, and engage with academic and research communities to advance state‑of‑the‑art ML systems.

The opportunity is part of a strategic growth area for AWS and involves working alongside distinguished engineers and scientists in an exciting, impactful environment.

• AI for Systems:
  Developing and applying ML/RL approaches for kernel/code generation and optimization
• Machine Learning Compiler:
  Creating advanced compiler techniques for ML workloads
• System Robustness:
  Building tools for accuracy and reliability validation
• Efficient Kernel Development:
  Designing high‑performance kernels optimized for our ML accelerator architectures

• Work directly with external and internal customers to identify adoption barriers and optimization opportunities.

• Collaborate closely with engineering teams to implement innovative solutions.

• Engage with academic and research communities to advance state‑of‑the‑art ML systems.

• Support product innovations that differentiate AWS services and features across the Compute, Database, Storage, Platform, and Productivity Apps portfolios, including specialized security solutions.

• PhD, or Master’s degree and 4+ years of experience in CS, CE, ML or a related field
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
• Programming experience in Java, C++, Python or a related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing

• Experience designing state‑of‑the‑art deep learning model architectures and training/optimization, including model pruning
• Experience building machine learning models or developing algorithms for business applications

Location:

Cupertino, CA
Salary: $ - $ USD annually
The total Amazon package includes sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits, including health insurance (medical, dental, vision, prescription, basic life & AD’D, supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.