Job Description


A Global leader and innovator in mobile technology is looking for a NLP Engineer to help to transform the way consumers globally interact with the world around them.

 

Requirements:

  • 2+ years of industry experience
  • NLP, text understanding, classification, pattern recognition, question answering, information retrieval, knowledge bas
  • Blend machine learning and neural network algorithms for training competitive models into parallel computing environments (GPU, distributed clusters, etc.
  • Developing and maintaining software for large-scale infrastructure in NLP, ML, AI
  • C#, Java, C++ or other
  • PhD, MS or BS degree in computer science, engineering, or related field      
  • Ability to adapt academic ideas and theoretical algorithms into a production system

 

Pluses:

  • High availability, big data, distributed computing, infrastructure performance, performance improvement and scalability
  • Developing and deploying features to a commercially-deployed, highly-available, big-data, distributed systems

 

Position logistics:

•             Duration: 6-month contract

•             Location: Mountain View, CA

•             Local candidates preferred

 

About Maxonic:

Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges.  Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates.  We take pride in the over 5,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.

Interested in Applying?

We can’t wait to see your resume.  Please apply below with your most current resume and anything else you’d like us to know about you – commute preferences, desired work environments, etc.  We promise to get back to you within 24 hours.  Feel free to email Lydia Vasilyeva (lydia.vasilyeva@maxonic.com) or call 408-739-4900 x 113.

Keywords: NLP, text understanding, classification, pattern recognition, ML, AI, deep learning, neural networks