Responsibility
Adapt standard machine learning methods leveraging modern parallel environments ( distributed clusters, multicore SMP, and GPU) Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models Suggest, collect and synthesize requirements from XFN teams Code deliverables in tandem with the engineering team
Minimum Qualifications
Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C / C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and / or shell scripts Experience building and shipping high quality work and achieving high reliability Track record of successful cross-functional partnerships Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
Masters degree or PhD in Computer Science or another ML-related field Exposure to architectural patterns of large scale software applications Experience with scripting languages such as Pytorch and TF
EEO :
Software Developer Iv • Menlo Park, CA