Meta is undergoing a significant transformation in its business and technology, and the Machine Learning teams are central to this evolution by tackling novel projects and initiatives to advance global connectivity.
Requirements
Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision
Experience in systems software or algorithms
Experience coding in Java, C/C++, Perl, PHP, or Python
Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable
Responsibilities
Develop highly scalable classifiers and tools leveraging machine learning, 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)
Perform specific responsibilities which vary by team
Other
Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field
Interpersonal experience: cross-group and cross-culture collaboration
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Intent to return to degree-program after the completion of the internship/co-op
Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers
