Careers

NLP Team Lead

Tel Aviv · Full-time

About The Position

In this role you will manage a team of top-notch NLP engineers, build state-of-the-art NLP models, and conduct research projects that advance the scientific frontier of AI. Your work will involve engineering tasks and empirical research of the highest quality.

Requirements

  • Comprehensive knowledge of deep learning applied to NLP
  • MSc degree in computer science or a similar technical field 
  • In-depth knowledge of at least one of the major frameworks (preferably PyTorch)
  • Extensive experience applying and training state-of-the-art NLP models (e.g., BERT, BART, T5)
  • 2+ years of deep learning research/development experience in industrial settings
  • Publication in top-tier peer-reviewed (NLP) venues such as ACL, NAACL, NeurIPS, ICLR
  • Excellent team player with strong communication skills in verbal and written English
  • Extensive knowledge of OOP, design patterns, and SOLID software development principles in Python
  • Leadership potential, and preferably experience in managing a technical team of (DL) engineers

Preferred qualifications

  • Publication in top-tier machine or deep learning peer-reviewed venues
  • Experience in the original design of deep neural models for complex NLP problems
  • Proven track record in delivering deep learning NLP models for industrial production
  • Proven managerial skills with at least two years of experience in managing an NLP engineering team.

Responsibilities

  • Contribute to Deci’s engineering research efforts, leading the components that will be integrated and deployed in the Deci product
  • Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers’ highly-skilled deep learning engineers and scientists.
  • Manage and mentor a team of deep learning engineers
  • Collaborate with other engineering and research teams 
  • Lead and carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts, and scientific papers

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