Leading Gen AI Developer for Digital Experiences

6 days ago


San Jose, California, United States Adobe Full time
Shape the Future of AI and Documents

As a Senior ML Engineer at Adobe, you'll be part of our pioneering AI team, responsible for developing innovative solutions that transform the industry. We're seeking an experienced engineer to join our team and help shape the future of AI in document management, empowering users to create, manipulate, and consume PDF files across various services and platforms.

Your expertise will be crucial in developing customer-facing features that harness the power of machine learning, enabling users to unlock the full potential of digital experiences. This role offers significant opportunities for career growth, including mentoring junior team members and collaborating with cross-functional teams to deliver impactful, innovative features.

The Opportunity
The Adobe Document Cloud's AI Team is looking for an experienced Senior ML Engineer to contribute to a variety of Gen AI and Machine Learning-related projects. Our most recent public Gen AI features include AI Assistant in Acrobat, Liquid Mode, and PDF Extract API. As an ML leader, you'll get to democratize Gen AI for all, empowering a team of accomplished scientists and engineers dedicated to building the future of AI and documents, and delivering delightful experiences.

What We Are Looking For:
  • 8+ years of industry work experience in machine learning, good sense of product with a focus on shipping user-facing Gen AI features.
  • Experience with Gen AI, Python, and Python-based ML/DL and Data Science frameworks.
  • Excellent coding, analysis, and problem-solving skills, solid knowledge of data structures and algorithms.
  • Knowledge of ML Ops, familiarity with ML services is a plus.
  • Strong communication and collaboration skills.
  • A Master's or PhD in Computer Science or a related technical field, or demonstrate equivalent experience.

Pay Range:
$182,900 -- $334,500 annually, reflecting the cost of labor across several U.S. geographic markets.

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