Lead NLP Research Engineer
HiAuto
Athens, Greece
πριν από 4 μέρες
source : Just Join IT

Deep Learning (advanced)

Machine Learning (advanced)

PyTorch (advanced)

TensorFlow (advanced)

NLP (advanced)

Hi Auto is the virtual assistant for restaurants.

We are developing an innovative, conversational voice-based AI for the restaurant world.

Its first skill is already being deployed at scale : automated order taking in Quick Service Restaurants (QSRs) where it improves customer experience, increases sales and reduces employee stress.

Understanding an order in the drive-thru using voice is not an easy task and requires deep technology to get to the required high completion rate of orders.

The challenges include a very noisy environment, unique speech patterns due to the customer's indecisiveness, different accents, gender, ages, speech from other people in the car, complex multi-turn unstructured conversation, low latency, and more.

In order to solve big challenges, we are developing our own speech and natural language understanding tech from the ground up.

About the Role :

  • Research SOTA approaches in NLU, and evaluate and implement them.
  • Own major parts of the NLU tech which is directly used in production.
  • Develop novel algorithms for specific problems in our NLU domain focusing on working on noisy input.
  • Requirements :

  • High proficiency in Python.
  • 4+ years hands-on work experience in NLP in the industry.
  • In-depth knowledge of at least one of the major frameworks (TensorFlow / PyTorch).
  • Comprehensive knowledge of machine learning and deep learning.
  • MSc degree in Computer Science or equivalent industry experience.
  • Qualities : Star performer, Team player, Fast, Strong ownership, Passionate about their work, Great communicator.
  • Join us to be a part of an amazing team with great vibes, interesting and unique challenges, and an opportunity to influence and build something big.

    Interview process :

    1. Online test : English

    2. Technical Interview with AI Lead

    3. NLP Assignment

    4. Technical Interview with Lead Architect

    Αναφορά αυτής της εργασίας
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