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At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.

This position is remote-friendly.

What you'll do

  • Design, implement, and evaluate novel approaches to challenging natural language processing problems
  • Work independently under the supervision of our team of Research Scientists on projects that will be impactful and meaningful to ASAPP

What you'll need

  • PhD student in computer science, machine learning, statistics, or related field
  • Desire to solve challenging, open-ended natural language processing research problems
  • Good programming skills and experience using PyTorch
  • Desire to develop and apply techniques that solve problems central to our clients
  • Enthusiasm for working in a highly collaborative environment
  • Top-notch written and verbal communication skills
  • Outstanding analytical and problem-solving ability

What we'd like to see

  • Peer-reviewed publications from top machine learning conferences (EMNLP, ACL, NAACL, NeurIPS, ICML, ICLR)

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-CM1 #LI-Remote

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Confirmed 9 hours ago. Posted 30+ days ago.

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