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