Sr. Sensei Data Platform Engineer
Adobe
San Jose
hace 1 día

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 create and manage d igital content .

In Creative Cloud, c reative profe ssionals and novice users alike need to manage the lifecycle of their digital assets, libraries, and documents , f rom brushes to colors, images , photos, videos, 3D assets and beyond.

In Experience Cloud, it is all about optimizing the d igital e xperience and d igital tr ansformations for e nterprises .

Adobe Cloud also includes the Adobe S tock image marketplace and the Behance communit y that leverage deep machine learning to enable content quality, search, discover y , organiz ation , co ntributor moderation, and more .

We are building a new machine learning platform, called Adobe Sensei, that powers machine learning and AI across our Adobe Cloud product lines .

This platform will span t housands of applied re searchers, millions of users , and billions of digital assets . Become part of this growing team at Adobe and make a 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, differentiating technology in the Adobe Cloud ecosystem.

How can you participate? We’re looking for a Data Engineer, who is passionate about large data set 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 -s cale 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 d evelop processes for data set lifecycle management , modeling, and production.

Architect, build and maintain scalable automated data pipelines from the ground up. Be an expert in combin ing 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 team s to define and establish product requirements .

Explore and research new and emerging ML technologies and bring them to the Adobe Sensei p latform.

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 / Ph D in Computer Science or related field

5+ years of industry experience in building and maintaining big data pipelines and / or building and maintaining analytical or reporting systems at scale.

Expert ise with data pipeline and workflow management tools : Airflow, Azkaban, Luigi, etc. ,

Exper ience working with Apache Hadoop and related technology like Pig, Hive, Oozie etc. ,

Hands on e xperience in Python, Java and / or C++ .

Experience with Docker, Containerization, AWS.

Experience in micro - services, and REST APIs.

Experience in RDBMS and No SQL database s .

Proficient interpersonal and communication skills .

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