Digital Experience Architect

7 days ago


San Francisco, California, United States Adobe Inc. Full time

About Us

At Adobe, we're on a mission to change the world through digital experiences. Our passion is empowering people to create and deliver exceptional digital experiences that transform how companies interact with customers across every screen.

The Role

We're looking for a skilled Machine Learning Engineer to lead the design of ML models and systems. You'll work closely with product and engineering management to align technical requirements and opportunities with product goals. Your expertise will be crucial in providing technical guidance across team projects and fostering a collaborative environment that stays ahead of innovative developments in the field.

Key Responsibilities

  • Develop, evaluate, and deploy ML models into production, utilizing 5+ years of industry experience.
  • Collaborate effectively with cross-functional teams to drive successful initiatives.
  • Stay up-to-date with the latest advancements in ML Ops and deep learning frameworks such as PyTorch or TensorFlow.
  • Leverage strong knowledge of Python and its applications in data science and machine learning.

Requirements

  • A Master's or PhD in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.
  • Experience working with both research and product teams.
  • Familiarity with ML services is a plus.

What We Offer

As an equal opportunity employer, Adobe is committed to creating an inclusive environment where everyone has access to equal opportunity. We strive to make Adobe.com accessible to all users and are proud to offer a competitive compensation package, including a salary range of $135,200 -- $250,900 annually, based on your location and qualifications.

Benefits

We believe in the power of diversity and inclusion, and we're dedicated to creating a workplace where everyone feels valued and respected. Our benefits include access to top-notch training and development opportunities, flexible work arrangements, and a comprehensive compensation package.



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