Senior Machine Learning Engineer

Adobe Document Cloud's AI Team is seeking an experienced Senior ML Engineer to work on various Gen AI and Machine Learning (ML) projects. The team is responsible for technologies related to creating, manipulating, and consuming PDF files across services, mobile apps, and desktop products. Their flagship application, Adobe Acrobat, is installed on over a billion devices and opens billions of PDFs annually.

The team's mission is to use ML to build new experiences with documents across their entire suite of offerings. Recent public Gen AI features include AI Assistant in Acrobat, Liquid Mode, and PDF Extract API. Solutions are deployed on different surfaces in the cloud and on desktop.

As an ML leader, you will:

• Democratize Gen AI for all
• Empower a team of accomplished scientists and engineers
• Build the future of AI and documents
• Deliver delightful experiences
• Mentor junior team members
• Collaborate with multi-functional teams
• Create, lead, and deliver customer-facing features
• Facilitate tech transfer from Adobe Research to Document Cloud
• Work on system design, ML model assessment, data science, data pipelines, automation architecture, system deployment, and prototype creation

The ideal candidate should have:

• 8+ years of industry work experience
• 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
• Master's or PhD in computer science or a related technical field (or equivalent experience)

This role offers significant opportunities for career growth and the chance to work on high-visibility, fast-paced projects with ample room for creativity. You'll join a diverse, lively group of engineers and scientists in a dynamic, fast-paced, creative, collaborative, and data-driven environment.