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Mid-Level Machine Learning Engineer (Well-Funded Startup/Cybersecurity)

Our client is an up-and-coming player in cybersecurity and networking deployment space. With a combination of data analysis, machine learning, and artificial intelligence, this company has truly made a name for itself within its industry.

Their small, dynamic team is seeking a talented engineer that can apply cutting edge machine learning, AI and modeling techniques to stop hackers in real time as they attack networks. In this role, you will directly impact the product by developing and implementing the core algorithms that detect malicious and anomalous behaviors on the network.

Required Skills & Experience

  • MS/PhD in Computer Science/Engineering or related field
  • At least 1 year of industry experience in machine learning and/or statistical modeling applying the techniques to real world problems
  • Extensive Python programming experience
  • Experience with object oriented programming, C++, and/or Java
  • Computational programming experience: R, MATLAB/Octave, Python/Pandas

Desired Skills & Experience

  • Experience using Tensorflow
  • Spark or Map Reduce
  • SQL and NoSQL database experience
  • Source control experience, preferably GIT

Benefits & Perks

  • A chance to work on an experienced team to learn and grow from
  • Excellent health benefits plan
  • Generous PTO
  • Competitive salaries coupled with meaningful equity
  • Daily catered lunches/snacks

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  • Caitlyn Hardy

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  • Jobspring San Jose - SWD
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Mid-Level Machine Learning Engineer (Well-Funded Startup/Cybersecurity)

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