Research Engineer in Conversational Natural Language Understanding (NLU)

We are looking for a Research Engineer to join our team and help us further develop the Natural Language Understanding (NLU) component of our conversational AI platform.

Your responsibilities will include:

• Help design domain-general data structures that represent the conversational context & history
• Help design, implement & test models that capture interactivity in conversational NLU
• Help design, implement & test models that detect ambiguity, vagueness or miscommunication phenomena in general
• Design and implement domain-agnostic Dialogue Management strategies (e.g. clarification) for the resolution of ambiguities
• Integrate & test ML models to recognise & process disfluent speech & corrections
• Write effective, scalable, and well-documented code
• Perform error analysis of models
• Assist in overall system evaluations & debugging

We are ideally looking for a candidate with the following qualifications and experience:

• Experience in Machine Learning & Natural Language Processing
• Experience with Deep Learning methods in NLP
• Team spirit
• Excellent problem-solving skills
• MSc in AI, Computer Science, Engineering or relevant field

Although not required, candidates with any of the following knowledge/skills will be highly considered:

• Background in Linguistics, especially in relation to dialogue modelling
• Experience with major cloud platforms such as AWC, GCP, Azure

Like many businesses, our team is currently working remotely – decisions won’t be made based on location