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Machine Learning
Ref No.: 17-04767
Location: San Francisco, California
Position Type:Direct Placement
Start Date: 05/19/2017
My direct client in San Francisco is looking for a Machine Learning Data Engineer. The ideal candidate will have experience coding for machines, strong Python skills, and experience with creating algorithms. Further, the ideal candidate would be someone that has built machine learning pieces as part of a large machine learning implementation.

Job title: Machine Learning 
Location: San Francisco (Soma)
Rate: DOE
Duration: FT/Direct hire or Contract to hire
  • 3-5 years of Data Science experience
  • Experience with a programming language (Python, R, Scala), data modeling, and common database query syntax
  • Experience in Big Data (HDFS), HPC Computing (Spark), or related paradigms
  • Experience in using AWS, Azure, or other cloud ecosystems
  • Deep knowledge of supervised and unsupervised learning methods, how to customize them and how to create ensemble methods in order to drive deep analytic insights.
  • Have experience with building and implementing predictive models, including data discovery, data preparation/cleaning, model validation, and evaluation
  • Have experience working in scrum/agile environment
  • Have experience with building and maintain ETL processes and tables
  • Be enthusiastic to learn!
Responsibilities :
  • Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions
  • You will work directly with the Data Science team to provide engineering and analytic support to projects, actively research and invent new algorithms to implement, and build high performing, scalable machine learning systems!
  • You will actively code Big Data Machine learning HPC algorithms and supporting systems (feature engineering, validity testing, model monitoring, etc) to deploy as part of the proprietary data integration, analytics, and predictive platforms
  • Casual, fun environment
  • Annual bonuses
  • Stock options
  • Flexible hours
  • Your choice of MacBook or Lenovo Laptop
  • 25 days vacation + 6 sick days
  • Lunch voicers
  • Generous referral bonus program
  • Employee mobile tariff
  • Relax zones and sports program
  • Regular employee outings and more!
If qualified and interested sent current copy of your resume to Kaylyn at