Senior Engineering Manager, Machine Learning & Search
San Jose
hace 3 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!

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, Marketing Cloud, and Document 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, recommendations and feed experiences.

Isn’t it exciting? Become 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!

How can you participate? We’re looking for a top-notch search engineering leadership to lead engineering team in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, computer vision, data analysis & metrics, query processing, multi-lingual search, and search UX.

This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us!


Lead the new budding engineering team, mentor the team and facilitate in delivering delightful search & discovery experience.

Help hire top notch talent to help support the growth. Lead the way to innovate in search indexing, big data, web services, search & browse experience and recommendations as part of creative flows.

Lead planning sessions to deliver value to customers and business. Lead the collaborations to integrate search in various different Adobe products including mobile products.

Build the search platform to index billions of images in near real-time.

Lead on areas such as Big data, data ingestion, search indexing, data mining, Hadoop / Spark, deep learning, recommendations, and search relevance by developing a Search stack at Adobe that would power variety of cloud-based Product-lines.

Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of search relevance, recommendations but also user experience, performance and feasibility.

Build these products using technologies such as Elastic Search, REST web services, SQS / Kafka, Machine Learning, and more.

What you need to succeed

BS or MS in Computer Science

12-15 years of relevant experience in industry

Experience leading engineering teams (at least 5 years)

Experience in planning the product life cycle

Experience collaborating with cross functional teams

Experience in coaching and mentoring team members

Experience in hiring top notch talent

Experience with Search engine technology, and inverted indexes

Experience with deep learning, language understanding, relevance.

Experience with Java, PHP, Python, Web services and REST

Experience in Big data processing, Hadoop and Spark

Experience in engineering SaaS based software development

Experience in RDBMS & NOSQL database.

Bonus for experience with Elasticsearch / SolR, AWS, and PostgreSQL.

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