Within Amazon Search, the
Relevance team has a mission to help customers efficiently find anything
they are looking for. This charter requires us to build innovative
ranking solutions that operate at Amazon's scale, across diverse product
categories, and focus on our customers' long-term satisfaction. We dive
deep to figure out idiosyncrasies of how customers shop , make purchase
decisions for their business, browse the catalog, or choose things to
buy, then we turn these learnings into innovative machine learned
ranking solutions to improve customer satisfaction and business metrics.
In
this role you will leverage your strong engineering background to help
build the next generation of our ranking model development and
assessment framework, harnessing and explaining rich data at Amazon
scale, and providing automated insights to ensure the quality and
operational stability of machine learned rankers that impact millions of
customers every day. This role requires a pragmatic problem solver
comfortable with ambiguity, with deep expertise in data processing at
scale. The ideal candidate will have deep experience in data processing
at scale in customer-facing applications. Additionally, we are seeking
candidates with strong rigor in engineering, deep curiosity and interest
for applied sciences, creativity, and great judgment.
We are
building a new team in Barcelona and joining us, you’ll experience the
benefits of working in a dynamic, entrepreneurial environment, while
leveraging the resources of Amazon.com (AMZN). You will work with the
largest online retail search application in the world, both in terms of
users, catalogue size, and computing resources, and your work will
directly impact millions of our customers.
As a member of our
Search team, you will work alongside internationally recognized experts
in science and engineering to develop novel algorithms and modeling
techniques to advance the state-of-the-art in search and natural
language processing. You will be expected to collaborate with the Core
AI group in Barcelona and other groups at Amazon including Search.
BASIC QUALIFICATIONS
· Bachelor’s degree in computer science or related technical field (in lieu of degree, 4 years of relevant work experience).
·
At least 5 years of hands-on experience developing large-scale data
processing pipelines or analytics in production (e.g., Hadoop, Hive,
Spark, Presto, Kafka, Airflow, and similar).
· Hands-on experience developing production code in C++ or Java, as well as high-level scripting languages like Python.
· Familiarity with AWS services.
PREFERRED QUALIFICATIONS
· Master’s or PhD in a Computer Science and/or 3+ years of practical experience.
· Expertise in Computer Science fundamentals in data structures, algorithm design, and complexity analysis.
· Intermediate, or higher, understanding of Machine Learning systems that run within a web based system/application.
· Demonstrated ability to communicate well and discuss complex topics with both technical and business audiences.
· Strong sense of ownership with an entrepreneurial ‘think big’ mind-set.