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Chief Discovery Officer

As a Chief Discovery Officer you will have the role of improving by at least 10X everything our software does through the application/integration of AI and other APIs that can give us super powers. You will be the scientist onboard that is exploring all the cool stuff and figuring out how to leverage it to accelerate our progress.

It would be ideal is you have industry/academic experience working on a range of classification and optimization problems. More specifically: text/sentiment classification, and collaborative filtering/recommendation. Your job will involve taking these skills and applying them to have our chat algorithm learn from human responses and initiate a self-learning loop.

Responsibilities

  • Develop highly scalable classifiers and tools leveraging machine learning, deep learning, data regression, and rules based models
  • Explore and integrate with modern resources in the Machine Learning space to significantly improve the performance of our systems (tensorflow, watson, api.ai, etc.)
  • 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)

Qualifications

  • 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

  • Expert 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 a plus

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