Lead Engineer, Search and Machine Learning
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

Search and discovery are a critical part of Adobe’s Cloud offering. Creative professionals and novice users alike need quick access to their documents, digital assets, libraries, and the variety of creative content they work with every day.

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

We are building a new search platform that powers suites of Adobe product lines such as Adobe’s Creative Cloud, Marketing Cloud, and Document Cloud and the leading marketplace such as Adobe Stock.

Search and recommendations are at the very core of the service offered to our customers, with 20 languages covered, and millions of users touched every day.

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

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

What You’ll Do

  • Work closely with Machine Learning scientists, Engineers, Designers and Product Managers to conceptualize and build AI & ML based features
  • Apply machine learning to improve the search and recommendation workflows
  • Build and integrate Natural Language Processing (NLP) capabilities
  • Build web services, search indexing and search platform to index billions of images, documents, and other assets in real-time.
  • Use Elastic Search, REST, NoSQL, and Kafka to power some of these.

  • Apply data analysis and mining using frameworks such as Hadoop and Spark to build insights for product roadmap.
  • Do analysis and present key findings, insights and concepts to key influencers and leaders.
  • What you need to succeed

  • MS in Computer Science
  • 8+ years of relevant experience in industry
  • Experience with Applied machine learning
  • Hands-on experience with Java and Python.
  • Hands-on experience with Big data processing, Hadoop and Spark.
  • Hands-on experience with Web services and REST
  • Hands-on experience with real time data ingestion using frameworks such as Kafka, Hbase, Storm
  • Experience with Search Engine technology, inverted indices, Elastic or Solr
  • Experience with RDBMS & NOSQL database.
  • Strong analytical and problem-solving skills
  • Excellent technical leadership and cross-team collaboration skills
  • Enthusiastic about technological trends and eager to innovate
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