Machine Learning Engineer, AGI - Web & Knowledge Services

Amazon is a global technology company leading in e-commerce, cloud computing, digital streaming, and artificial intelligence.
$129,300 - $223,600
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS
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Description For Machine Learning Engineer, AGI - Web & Knowledge Services

Amazon's AGI Information team is seeking a passionate, talented, and inventive Machine Learning Engineer (MLE) to lead the development of industry-leading systems. As part of our cutting-edge team, you will play a pivotal role in reinventing efficient AI solutions at scale. In this role, you will work alongside renowned researchers and engineers to enable our customers to seamlessly interact with content.

Key responsibilities include:

  • Designing and building scalable infrastructure for training, evaluating, and deploying machine learning models
  • Developing tools for monitoring the performance of machine learning models at scale
  • Creating lineage and artifact tracking infrastructure
  • Designing reproducible ML Pipelines orchestrating various components for ML models
  • Optimizing model performance, robustness, and efficiency through techniques like model compression, knowledge distillation, and hardware acceleration
  • Championing engineering best practices within your group and beyond
  • Producing clean, high-quality code, tests, and written documentation
  • Mentoring and guiding junior engineers, sharing knowledge, and contributing to an innovative, collaborative culture

The ideal candidate will have:

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience with new and existing systems
  • Experience programming with at least one software programming language
  • Experience with ML frameworks such as PyTorch, TensorRT, ONNX, AWS Neuron, and accelerating deep learning models for GPU/CPU/Inferentia architectures
  • A Bachelor's degree in computer science or equivalent
  • 3+ years of full software development life cycle experience

Amazon offers a competitive compensation package, including equity and a range of benefits. The base pay for this position ranges from $129,300/year to $223,600/year, depending on the geographic market and other factors.

Join us in shaping the future of AI and machine learning at Amazon!

Last updated 2 months ago

Responsibilities For Machine Learning Engineer, AGI - Web & Knowledge Services

  • Design and build scalable infrastructure for training, evaluating, and deploying machine learning models
  • Develop tools for monitoring the performance of machine learning models at scale
  • Create lineage and artifact tracking infrastructure
  • Design reproducible ML Pipelines orchestrating various components for ML models
  • Optimize model performance, robustness, and efficiency
  • Champion engineering best practices
  • Produce clean, high-quality code, tests, and written documentation
  • Mentor and guide junior engineers

Requirements For Machine Learning Engineer, AGI - Web & Knowledge Services

Python
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience with new and existing systems
  • Experience programming with at least one software programming language
  • Bachelor's degree in computer science or equivalent (preferred)
  • Experience with ML frameworks such as PyTorch, TensorRT, ONNX, AWS Neuron (preferred)
  • 3+ years of full software development life cycle experience (preferred)

Benefits For Machine Learning Engineer, AGI - Web & Knowledge Services

Equity
Medical Insurance
  • Equity
  • Medical Insurance
  • Other benefits (not specified in the text)

Interested in this job?