Our Company

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!

 

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 Data Platform Engineer, who is passionate about large dataset management for ML applications. The ideal candidate will be a hands-on person who has strong technical and communication skills and will provide innovative technical solutions promptly. Someone with a proven record of building large-scale infrastructure needed to source, validate, clean, and process the data. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us! 

Responsibilities

• Define and develop processes for dataset lifecycle management, modeling, and production.
• Architect, build and maintain scalable automated data pipelines from the ground up. Be an expert in combining and calibrating data across various data sources.
• Work with Adobe’s data ingestion, data platform, and product teams to understand and validate instrumentation and data flow.
• Integrate new data management technologies and software engineering tools into existing structures.
• Collaborate with architects, product management, and engineering teams to define and establish product requirements.
• Explore and research new and emerging technologies and bring them to the Adobe Sensei platform.
• Write and review technical documents, including requirements and design documents for existing and continuously evolving features of the Adobe Sensei platform.

What you need to succeed

• MS/PhD in Computer Science or related field
• 5+ years of industry of experience in building and maintaining big data pipelines and/or building and maintaining analytical or reporting systems at scale.
• Expertise with data pipeline and workflow management tools: Airflow, Azkaban, Luigi, etc.,
• Must have good command of Python, Spark / Scala and big data techniques (Hive/Pig, MapReduce, Apache Hadoop, Kafka).
• Hands on experience in Java or C++.
• Experience with Docker, Containerization, Azure and AWS.
• Experience in micro-services, and REST APIs.
• Strong SQL (Postgres, Hive, MySQL, etc) and No-SQL (MongoDB, HBase, etc.) skills.
• Strong leadership with proficient verbal and written communication skills.