Facebook Software Engineer, Business Integrity Optimization in Seattle, Washington
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.
Facebook is seeking Machine Learning Engineers to join our Business Integrity Optimization engineering team. This team applies advanced feature generation and machine learning models to help make sure only high quality content created by advertisers, page owners, merchants, etc. are delivered to our users in order to ensure a satisfactory and sustainable experience. This team creates and improves hundreds of production Machine Learning (ML) models to ensure scalability of our content review process and minimizes the amount of negative experiences within Ads, Pages, Marketplace, Groups, Messenger, etc. on Facebook, by automatically detecting policy violation and low quality content. Business Integrity Optimization offers the unique challenge of dealing with a large variety of ML problems (classification, regression, ranking) applied to different type of components (e.g., text, video, image, URL) and the unique opportunity of combining it with human computation within our ML workflows. The ideal candidate will have industry experience working on a range of classification problems, deep learning, content understanding and natural language processing, penalty and ranking features.
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize 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)
MS degree in Computer Science or related quantitative field or Ph.D degree in Computer Science or related quantitative field
5+ years of 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
Knowledge developing and debugging in C/C++ and Java
Experience with scripting languages such as Perl, Python, PHP, and shell scripts
- Experience with filesystems, server architectures, and distributed systems
Equal Opportunity: As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at 1+650-308-7837.