Principal Scientist - Search and Discovery
Adobe
San Jose
hace 2 días

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 Opportunity

Search & Discovery is a critical part of Adobe’s Cloud offering. Adobe customers and users alike need quick access to their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos and beyond.

Customers need to find and discover what they’ve created, inspired by others, the things that have been shared with them, and even search marketplace such as Adobe Stock, Fonts, or community such as Behance.

We are building search & discovery systems that powers Adobe product lines such as Adobe’s Creative Cloud product, Document Cloud, and Experience Cloud by enabling the world’s best creative tools, leading cloud services for managing creative assets, and the leading marketplace such as Adobe Stock.

Search platform will have to cater to hundreds of millions of users and billions of entities. What is more, it is about applying state of the art machine learning, computer vision, and language understanding to build inspiring search, discovery, recommendations, and feed experiences. Isn’t it exciting?

Become a part of this growing team at Adobe and have a phenomenal impact by providing search, browse, machine learning and recommendation across the creative suites of products at Adobe.

Search & Discovery is at the very core of the service offered to our customers, with 20+ languages covered, and hundreds of millions of users touched every day.

The objective is to make search a world class, leading edge, differentiating product in terms of search, recommendations effectiveness and experience.

We match the pace, innovation, and excitement of a startup, backed by the resources and infrastructure of Adobe!

We are looking for a top-notch technical leadership in building Search & Discovery stack, from best-in-class discovery platform to discovery algorithms, to lead the way.

The role entails influencing repository integrations, search ingestion, search retrieval algorithms, relevance and ranking, big data processing and analysis, machine learning, multi-lingual search and more, This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us!

What you'll do

Help build on a Search & Discovery vision of Adobe Clouds.

Lead the technical direction, architecture, and execution of search platform - web services, search ingestion, retrieval stack and algorithms, relevance, deep learning, recommendations, and more.

Engage and collaborate with search team & extended Adobe cloud team.

Deliver on a mission to provide search & discovery of any content in Adobe clouds - Creative Cloud, Document Cloud and Experience Cloud.

Help build Search platform to scale for 10x growth in next few years.

What you need to succeed

BS or MS in Computer Science or equivalent industry experience

A minimum of fifteen years of relevant experience in industry

Experience in building search / recommendation systems at internet scale

Experience in engineering SaaS based software development

Experience with search engine technology, image search and inverted indexes

Experience with Elastic Search / SolR and AWS

Experience with deep learning and embeddings

Hands on experience with Java, and Python.

Hands on experience in Big data processing, Hadoop and Spark.

Hands on experience in building distributed systems and indexing pipeline.

Experience in Web services and REST.

Experience in RDBMS & NOSQL database.

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