Software Engineer Machine Learning
Detail de l'annonce :
Facebook is seeking Lead/Principal machine learning engineers to join
our engineering team. The ideal person will have industry experience
working on a range of classification and optimisation problems, e.g.
payment fraud, click-through rate prediction, recommendation systems,
click-fraud detection, search ranking, text/sentiment classification
or spam detection. The position will involve taking these skills and
applying them to some of the most exciting and massive social data and
prediction problems that exist on the web. You will bring the ability
to own the whole ML life cycle, define projects and drive excellence
across teams.
* Play a critical role in setting the direction and goals for a
sizable team, in terms of project impact, ML system design, and ML
excellence
* Be a go-to person to escalate the most complex online / production
performance and evaluation issues, that require an in depth knowledge
of how the machine learning system interacts with systems around it
* Develop highly scalable classifiers and tools leveraging machine
learning, data regression, and rules based models
* Suggest, collect and synthesise requirements and create effective
feature roadmap
* Code deliverables in tandem with the engineering team
* Adapt standard machine learning methods to best exploit modern
parallel environments (e.g. distributed clusters, multicore SMP, and
GPU)
* Re-evaluate the tradeoffs of already shipped features/ML systems,
and you are able to drive large efforts across multiple teams to
reduce technical debt, designing from first principles when
appropriate.
* Experience in one or more of the following areas: machine learning,
recommendation systems, pattern recognition, data mining or artificial
intelligence
* Proven ability to translate insights into business recommendations
* Experience with Hadoop/HBase/Pig or
MapReduce/Sawzall/Bigtable/Hive/Spark Expert knowledge developing
production level ML products
* Expert with scripting languages such as Python, Perl, PHP, and/or
shell scripts
* Experience developing and debugging in Java, C++ or similar
* Experience of demonstrating technical leadership working with
teams, owning projects, defining and setting technical direction for
projects.
* MS degree in Computer Science or related quantitative field with
experience in machine learning related work or research, or PhD degree
in Computer Science or related quantitative field
* Experience with filesystems, server architectures and distributed
systems
Facebook's mission is to give people the power to build community and
bring the world closer together. Through our family of apps and
services, we're building a different kind of company that connects
billions of people around the world, gives them ways to share what
matters most to them, and helps bring people closer together. Whether
we're creating new products or helping a small business expand its
reach, people at Facebook are builders at heart. Our global teams are
constantly iterating, solving problems, and working together to
empower people around the world to build community and connect in
meaningful ways. Together, we can help people build stronger
communities - we're just getting started.