A Little About Us
Commerce is a fast-growing business for Verizon Media in the US. We are expanding and looking for outstanding research engineers to join our US Commerce Personalization team.
As our personalization / recommendation services, data model, and APIs are powering more and more products (e.g. Shopping, Mail, Web Search, In The Know), quality improvement and performance stability are key pillars to advance our services.
Join us to enhance the recommender models, search ranking, and robust data aggregation / preprocess pipeline.
A Lot About You
With this opportunity, you can work on novel machine learning technologies, real-life web-scale challenges, unique e-commerce domain, and complex challenges with top-notch engineers.
You have access to the internet-scale amount of data, and powerful Hadoop / Spark clusters that consist of thousands of computing nodes.
What you do will meaningfully contribute to the bigger success of the company.
We are looking for research engineers with strong coding, machine learning, and information retrieval skills. You will be coding in Java / Scala on the Unix platform to build recommender applications that handle a huge scale of data within milliseconds.
If you have a desire to be part of building the fastest, biggest, and most innovative products on the planet, come talk to us.
BS / MS in Computer Science (with good academic records for NCG) or related field with a good understanding of the fundamentals such as Data Structures and Algorithms.
Experience in machine learning and recommender systems.
Good coding skills and experience in OOP. Python / Java / Scala preferred.
Good communication and collaboration skills to work with people from a variety of technical backgrounds and geographical locations.
Enjoys helping people, remains friendly and constructive under stress.
Preferable Job Qualifications
Project R&D skills in the industrial environment.
A proven track record of technical strength, including responsibility for design or architecture
Experience in modern development methodologies like CI / CD and Agile developing
Experience in cloud technologies, such as Hadoop, Spark, HBase, Storm, and AWS services.