AI Engineer for Innovative Document Solutions

23 hours ago


San Jose, California, United States Adobe Full time
Unlock the Power of AI

At Adobe, we're revolutionizing the way people interact with documents and digital experiences. As a Senior ML Engineer, you'll be part of our cutting-edge AI team, responsible for building 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. Your expertise will be crucial in developing customer-facing features that harness the power of machine learning, enabling users to create, manipulate, and consume PDF files across various services and platforms.

This role offers significant opportunities for career growth, including mentoring junior team members and collaborating with cross-functional teams to deliver impactful, innovative features. If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies daily, and working on high-visibility projects with ample room for creativity, this might be the perfect fit for you.

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. The team's mission is to use ML to build new experiences with documents, across our entire suite of offerings. 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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