Instagram is seeking Machine Learning Engineers to help build and optimize our rapidly growing network. Our mission at Instagram is to strengthen relationships through shared experiences. The ideal candidate will have industry experience working on a range of classification and optimization problems, e.g. click-through rate prediction, click-fraud detection, image recognition, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. If you are excited about building great product and pioneering new uses for machine learning, come join us in our New York City office.
* 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
Apply expert software development skills to a wide range of ML-related coding projects
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 with 5+ years of relevant experience or Ph.D degree in Computer Science or related quantitative field
Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, large-scale data mining or artificial intelligence.
Proven ability to translate insights into business recommendations
Experience with Hadoop/Hbase/Pig or MapReduce/Sawzall/Bigtable
Knowledge in 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
Facebook is 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 firstname.lastname@example.org.
Facebook is a company providing an online social networking service.