Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

Sensei ML Platform Engineer

The challenge

Machine Learning is critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to build & manage Digital content, such as assets, composites, 3D, documents etc., and Digital experience and transformations. In Creative Cloud, Creative professionals and novice users alike need to manage lifecycle of their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, photos, videos, 3D and beyond. In Experience Cloud, it is all about optimizing the Digital Experience and Digital Transformations for Enterprises where digital content rules with mobile playing pivotal role, whereas in Document Cloud it is all about paperless world where offerings provide way for authoring and seamless transfer of content across users & entities. Adobe Cloud also provides the stock image marketplace, Adobe Stock, and the community, Behance, which entails deep machine learning embedding to enable content quality, search, discover, organize, contributor moderation, and more to allow for faster content velocity.

We are building the machine learning platform, called Adobe Sensei, that powers machine learning and AI across Adobe Cloud product lines by enabling the world’s best creative tools, leading cloud services for handling digital assets and digital experiences and the leading marketplace such as Adobe Stock and Adobe Behance. This platform will cater to thousands of applied researchers, millions of users, and billions of content pieces. Become part of this growing team at Adobe and an extraordinary impact in the area of computer vision, user understanding, language understanding, and digital experience optimization. The objective is to make machine learning offerings a premier, cutting edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation, and excitement of a startup, backed by the resources and infrastructure of Adobe!

How can you participate? We’re looking for a ML Platform Engineer with a good blend of science and engineering skills. An experienced engineer with a consistent track record of solving critical engineering problems through strong analytical/quantitative skills. A hands-on person who has strong technical and interpersonal skills and provide innovative technical solutions promptly. This is a chance to create a huge impact in a fast-paced, startup-like environment in phenomenal company. Join us!

Responsibilities

• Democratize Machine learning/AI, drive and improve the platform supporting the end-to-end ML lifecycle - from inception and design, through deployment, and refinement
• Design and develop runtimes and libraries for emerging ML technologies
• Design and develop large-scale distributed ML systems on cloud, such as Microsoft Azure and Amazon Web Services
• Build and develop performant, maintainable, and scalable platform features across complete ML pipeline
• Collaborate with architects, product management and iterate with an engineering team to distill product requirements
• Explore new ML and AIOps technologies and bring them to the Adobe Sensei platform
• Work with QA and Onboarding engineers to understand and support our customers
• Write and review requirements and design documents for features across all of Sensei platform

What you need to succeed

• BS or MS in Computer Science
• Minimum 5+ years of meaningful experience in industry
• Experience in building large-scale distributed systems
• Experience with cloud technologies, Docker, Containerization
• Experience with AWS or Microsoft Azure
• Understanding of state-of-the-art Machine Learning techniques, Deep Learning, Recommendations and Computer Vision
• Experience in machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe
• Hands-on experience with Python, Java and/or C++
• Experience in micro-services, REST APIs, and databases
• Great interpersonal and communication skills