NLP Research Scientist (Los Angeles)

DiDi Labs, Los Angeles

DiDi Labs is working to solve the world’s most challenging problems.

NLP Research Scientist – DiDi Labs (Los Angeles)

Our team in Los Angeles is currently focused on Natural Language Processing. We are excited about the future of communication, transportation, and artificial intelligence. Smart cars should speak and understand human language, and people should be able to order services and solve their problems by speaking. Furthermore, people who speak different languages should be able to communicate with one another.

NLP Research Scientists make key contributions to our overall mission by tackling interesting, challenging, previously-unsolved problems, and by using state-of-the-art methods to solve them.


  • Define ambitious, relevant AI research problems and criteria for evaluating success.
  • Build state-of-the-art solutions by designing algorithms and carrying out experiments.
  • Work with engineering teams, when appropriate, to get solutions into use.


  • Ph.D. in Computer Science or related field.
  • Publications in top-tier conferences in Natural Language Processing, Machine Learning, Speech Processing, or Statistics.
  • Proficiency in large-scale programming in C++, python, or related systems.
  • Good communication skills.

Preferred Qualifications:

  • 5+ years experience in professional research on Natural Language Processing or Machine Learning.
  • 5+ years experience with robust, large-scale, parallel computing systems.

About DiDi Labs

DiDi is a ride-sharing platform dedicated to revolutionizing the way people live and move. Didi Chuxing offers a full range of on-demand mobility options, including Taxi hailing, private car hailing, Hitch (social ride-sharing), Chauffeur (designated driver), Bus, Minibus, Car Rental, and Enterprise Solutions. Our company is committed to working with communities and partners to solve the world’s transportation and environmental challenges using big data-driven deep-learning algorithms that optimize resource allocation.

Want to learn more about DiDi Labs? Visit DiDi Labs's website.