Member of Technical Staff - ML Engineer, Frontier AI Robotics

Amazon

San Francisco, CA, US
On-site
Distributed training infrastructure
Deep learning architectures
Transformer-based models
This role focuses on building and optimizing distributed training infrastructure for large-scale machine learning models

Job Summary

  • This role focuses on building and optimizing distributed training infrastructure for large-scale machine learning models.
  • The team leverages Amazon's massive computational infrastructure to train state-of-the-art foundation models for robotics.
  • You will work closely with scientists and engineers to deliver scalable systems that power AI research and applications.

Matching Summary

This role focuses on building and optimizing distributed training infrastructure for large-scale machine learning models.

Skills & Requirements

Must-have

  • Distributed training infrastructure
  • Deep learning architectures
  • Transformer-based models
  • Scalable high-performance systems

Nice-to-have

  • Experience with multimodal perception
  • Real-world robotics scenarios
  • Collaboration with research scientists

Key Requirements

  • Highly skilled Machine Learning Systems Engineer
  • Experience with deep learning and transformers

Work Rights

Not specified

Tailored Resume

Cover Letter