Applied Research Scientist - Search and Discovery
Adobe
San Jose
hace 7 horas

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(Recommendations) is a critical part of Adobe's Cloud offering. Adobe Clouds are brimming with billions of pieces of rich content and ever-growing on daily basis.

The kind of content ranges from images, photos, vectors, brushes, videos, composites, text documents, 3D, and anything we could think of.

Creative professionals and novice users alike need quick access to their digital assets, libraries, variety of creative content, and documents they work with every day, from brushes to colors, images, videos, and beyond.

We are building Search & Discovery(Recommendations) Platform that powers multiple Adobe product lines such as Adobe's Creative Cloud product, Experience Cloud, Document Cloud, and creative marketplace like Adobe Stock.

Search & Discovery platform takes care of billions of assets stored in the cloud for a variety of use cases ranging from privately accessible assets as in Lightroom, Creative Cloud, and others, shared assets via collaboration in creative cloud and experience cloud and public discoverable assets as in Adobe Stock Marketplace, Adobe.

com, Adobe Learn & Tutorials content.

Search platform deals with multiple modalities and is not limited to keyword search and supports searches based on image similarity, video similarity, and combination of text and images and other permutations.

We use state-of-the-art machine learning and computer vision approaches to power this.

For Discovery Platform, we are building a newer platform to provide state of art personalized suggestions in the whole creative process for our end-users in multiple Adobe products by combining the richness of assets information and machine learning techniques.

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.

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

How can you participate?

We are looking for Technical Leads who can bring in their Machine Learning expertise in Computer Vision, NLP, and recommendations areas to add Artificial Intelligence to Search & Discovery Platforms.

In this capacity, you will be leading initiatives working closely with product teams to take things to production. The ideal candidate should be able to lead a team of engineers, architect ML algorithms, well versed in data science capabilities, create proof of concepts to show ideas to clients, and build production-grade Models and APIs that can power Search & Recommendations backend.

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

What you need to succeed?

PhD or MS in Computer Science

At least 5 years of relevant experience in the industry

Experience in at least one of these machine learning domains : Computer vision, NLP, Deep learning, language understanding, and content ranking & recommendations.

Hands-on experience in Python, Java, or other programming languages

Experience with machine learning frameworks like Tensorflow, PyTorch, Scikit, MLPack, Caffe, etc.

Experience shipping ML models to productions : including design, training, and evaluation

Experience in deploying and maintaining ML Models in production

Exposure to Data Science tools as Spark, Hadoop, Pig or others

Experience in Git, Jenkins

Adobe is an equal opportunity employer. We welcome and inspire diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request an accommodation.

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