Machine Learning is critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to createandmanagedigitalcontent.
In Creative Cloud,creative professionals and novice users alike need to managethelifecycle oftheir digital assets, libraries,and documents, from brushes to colors, images,photos,videos, 3Dassetsand beyond.
In Experience Cloud, it is all about optimizing thedigitalexperience anddigitaltransformations forenterprises.Adobe Cloud alsoincludes the Adobe Stock image marketplace and theBehancecommunity that leveragedeepmachine learning to enable content quality, search, discovery, organization,contributor moderation, and more.
We are buildinganew machine learning platform, called Adobe Sensei, that powers machine learning and AI acrossourAdobe Cloud product lines.
This platform willspan thousands of applied researchers, millions of users, and billions ofdigital assets. Become part of this growing team at Adobe andmakea phenomenal impact in the area of computer vision, user understanding, language understanding, and digital experience optimization.
The objective is to make machine learning offerings a world-class, leading-edge, differentiatingtechnologyintheAdobe Cloud ecosystem.
How can you participate? We’re looking foraDataEngineer,who is passionate aboutlargedatasetmanagementfor ML applications.
The ideal candidate will be ahands-on person who has strong technical and communication skills andwillprovide innovative technical solutions promptly.
Someonewith a proven record of buildinglarge-scaleinfrastructure needed to source, validate, clean, and process the data.
This is an opportunity to make a huge impact in a fast-paced, startup-likeenvironment ingreat company. Join us!
Define and develop processes for dataset lifecyclemanagement,modeling,and production.
Architect, build and maintain scalable automated data pipelinesfrom theground up. Be an expertin 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, andengineering teamstodefineandestablishproduct requirements.
Explore and research new and emergingMLtechnologiesand bring them tothe AdobeSensei platform.
Write and review technical documents, including requirements and design documents for existing andcontinuously evolving features of theAdobeSensei platform.
What you need to succeed
MS / PhDin Computer Scienceor related field
5+ yearsofindustryexperienceinbuilding and maintaining big data pipelines and / orbuilding and maintaininganalytical or reporting systems at scale.
Expertisewithdata pipeline and workflow management tools : Airflow, Azkaban, Luigi, etc.,
Experienceworking with Apache Hadoop and related technology like Pig, Hive, Oozie etc.,
Hands onexperienceinPython,Javaand / or C++.
Experience with Docker, Containerization, AWS.
Experience inmicro-services,and REST APIs.
Experience in RDBMSand NoSQL databases.
Proficient interpersonal and communication skills.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on . You will also be surrounded by colleagues who are committed to helping each other grow through our unique approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the and explore the meaningful we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.