Adobe - Seattle, WA

posted about 1 month ago

Full-time
Seattle, WA
Publishing Industries

About the position

The position involves designing and implementing a reusable and scalable training framework for deep learning models in large-scale and distributed environments. The role requires collaboration with ML Researchers and Machine Learning engineers to optimize the training of advanced ML models, ensuring ongoing support and addressing usability and scalability issues.

Responsibilities

  • Design and implement a reusable and scalable training framework for deep learning models.
  • Architect, implement, and optimize various components of the training framework using Python and PyTorch.
  • Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of ML models.
  • Lead projects from scoping requirements to launch, ensuring ongoing support.
  • Identify and resolve usability, extensibility, and scalability issues specific to the framework.
  • Stay updated with the latest test, development, and deployment practices, and share knowledge with the team and community.

Requirements

  • Master's degree or above in Computer Science or a related field, or equivalent practical experience.
  • Strong proficiency in Python and PyTorch.
  • Solid foundation in computer science fundamentals.
  • Experience with distributed training and its common strategies.
  • Experience working with large and complex code bases, employing API design techniques to maintain clean and maintainable code.
  • Excellent communication and collaboration skills.
  • Creative thinking for troubleshooting, debugging, and solving complex problems.

Nice-to-haves

  • Proficiency in SDK development and architecture.
  • Familiarity with container orchestration technologies like Kubernetes and EC2.

Benefits

  • Competitive salary range of $170,900 -- $325,200 annually based on location and experience.
  • Short-term incentives in the form of the Annual Incentive Plan (AIP).
  • Eligibility for long-term incentives in the form of a new hire equity award.
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