Senior Applied ML Researcher

About Chorus.ai 
 
Chorus.ai is a well-funded, California-Israel startup, backed by top investors including Emergence Capital and Redpoint Ventures, renowned Silicon Valley venture capital firms that have backed enterprise software companies like Salesforce, Yammer, Zoom, SuccessFactors, Box, Zendesk, and Twilio.
  
Chorus.ai is the market-leading Conversation Intelligence platform. Transcribing and analyzing customer-facing calls and meetings in real-time, we help our customers scale their revenue teams by giving them full visibility into their team’s deals. Our customers include stellar companies like Adobe, Qualtrics, Outreach, Zoom and many other businesses you'd recognize. 
 
If you love great challenges, working with people that are among the best at what they do and want to grow as a technical thought leader – we want to meet you!
 
Location: we are based in central TLV, within walking distance from the Shalom train station.
 
Role Responsibilities

Chorus.ai is hiring a Senior Researcher for applied ML and Data Science to join our Research & Innovation team. In this role, you will own ML projects in the most interesting fields, such as in-house Speech Recognition, Speaker Separation, Image Indexing, and NLP features. In addition, you will use generated data to produce impactful insights for our customers and have a huge impact on their success. 

This position is hands-on and requires programming skills (we write production-grade code), as well as ML understanding and the ability to learn new skills and frameworks independently (PyTorch, Kaldi, Spacy and more). 

We are looking for a passionate person who is excited about achieving a deep understanding of the problem domains, creating solutions that work and working in collaboration with engineering to deploy them.

 Qualifications 
 
  • Ph.D./ M.Sc in a relevant field. 
  • At least 3 years of industry experience OR 5 years of academic experience in Applied ML (NLP, Speech, or any other relevant field).
  • Experience in implementing Machine Learning components in Python 
  • Ability to learn new methods/ skills independently
  • Excellent communication & collaboration skills

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