Natural Language Generation (NLG) Engineer
Role Description And Responsibilities
As a Natural Language Processing (NLP) Engineer with a focus in Natural Language Generation (NLG), you will be a core member of the technical team. In this role you will be researching, developing, and producing cutting-edge NLG technology, as well as also having the opportunity to work on NLP problems and product alongside our engineering team. Strong research experience and knowledge in NLP, especially NLG, are essential for this role.
Key Responsibilities
- Research and develop cutting-edge technology and product on NLG.
- Applying Natural Language Generation technology for medical applications.
- Communicate with end users and colleagues on requirements.
Mandatory Requirements
Technical Skills:
- University degree (bachelors, masters, and/or doctorate) with a minimum of two years of university-level Computer Science, Medical Informatics or similar.
- Experience in Machine learning, Natural Language Processing, Algorithmic Foundations of Optimization.
- Experience in Natural Language Generation, including but not limited to, Summarization, Machine Translation, Chatbot, Sequence-to-sequence Models.
- Experience on general programming languages: Python, C++, Java.
- Experience with popular ML frameworks: TensorFlow, PyTorch, Scikit-learn, HuggingFace Transformers, etc.
Personal traits:
- Ability to effectively communicate complex ideas, both verbally and in writing, in English.
- Strong intuition for what makes products a joy to use.
- Ability to effectively communicate with end-users and understand their varying requirements.
- Strong interpersonal skills and the ability to engage all levels of our and the end user’s organization (especially the front line).
- Ability to work collaboratively in a team environment and collaborate efficiently with colleagues in different time zones.
Nice to Have:
- Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g. NeuraIPS, ICML, ICLR, ACL, CVPR, KDD, etc.) or biomedical journals.
Perks And Benefits
- Flexible working schedule and ability to work in London & San Francisco
- Highly competitive salary depending on experience.
- Package of attractive benefits, including stock options and discretionary bonus.
- You will join a dedicated highly renowned team offering you the opportunity to grow and develop your professional skills and profile.
- You will have the opportunity to learn about building a rapidly growing business from experienced professionals and serial entrepreneurs.