Adobe Sensei powers machine learning and AI across Adobe Cloud product lines by enabling the world’s best creative tools, leading cloud services for managing digital assets and digital experiences and the leading marketplace such as Adobe Stock and Adobe Behance.
This platform caters to thousands of applied researchers, millions of users, and billions of content pieces. Become part of this growing team at Adobe and 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 product in Adobe Cloud ecosystem.
We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe!
We are looking for a Full Stack ML Engineer, with a good blend of science and engineering skills. An experienced engineer with a proven track record of solving critical engineering problems through strong analytical / quantitative and engineering skills.
A hands-on person who has strong technical and communication skills and provide innovative technical solutions promptly.
This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us!
Design and develop Runtimes and SDK for emerging ML technologies .
Design and develop large scale distributed ML pipelines on cloud.
Build and develop performant, maintainable, and scalable features across complete ML pipeline
Collaborate with architects, product management and work with engineering focused, iterative team to build and establish product requirements
Explore and research new and emerging ML technologies and bring them to Sensei platform.
Work closely with data scientists and ML engineers to develop general purpose ML engines.
Work with QA and Onboarding engineers to understand the customer pain points and help bring resolution to the issues.
Write and review technical documents, including requirements and design documents for existing and continuously evolving features of the Sensei platform.
What you need to succeed
BS or MS in Computer Science
2-5 years of relevant experience in industry
Understanding of state-of-the-art Machine Learning techniques, Deep Learning, Recommendations and Computer Vision
Experience in some machine learning frameworks Scikit, MLPack, TF, SparkMLib, Caffe,
Experience in building large scale distributed systems.
Experience with Docker, Containerization, AWS.
Hands on Experience in Python, Java and / or C++.
Experience in micro-services, and REST APIs.
Experience in RDBMS & NOSQL database.
Proficient at interpersonal and communication skills