Position: Lead NLP Research Engineer
Company: MoveUp
Experience required: 5y
English level: intermediate

We are the virtual assistant for restaurants.
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.

A thorough understanding of drive-through voice orders requires deep technical knowledge. To tackle this big challenge, we're building our own Speech Recognition and Natural Language Understanding stack from the ground up.


The position includes state of the art approaches in NLP and NLU. We are looking for someone to lead the NLP technology to production, to develop new algorithms or problems that arise in the Natural understanding field.
The position is part of the Speech Recognition team. They work on models that identify the intention from the audio and text in order to create a fast and accurate identification of the products. There are many challenges. One of the goals of the team is that the Machine Learning will tell the person who orders their next step of the order.

Are you up for the challenge ?

You would bring:
- 5+ years hands-on work experience in NLP in the industry.
- Comprehensive knowledge of machine learning and deep learning.
In-depth knowledge of at least one of the major frameworks (TensorFlow/PyTorch).
- High proficiency in Python.
- Qualities: Star performer, Team player, Fast, Strong ownership, Passionate about their work, Great communicator. 

In This Role You Will:
- 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.