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NLP Research EngineerKapiche
Do you have a passion for the latest advances in Natural Language Processing? Kapiche is on a mission to revolutionise customer intelligence through the application of NLP technology. Our recent growth has seen our founders pulled into all parts of the business. We need an experienced machine learning practitioner to lead our NLP research and implementation efforts for our product.
Our product is serving a market who have been sold on the promise of NLP technology to help them understand their customer feedback but have been left completely underwhelmed by what they have been delivered. We are changing this, by delivering a product that delivers on the promise of NLP, using a mixture of unsupervised, semi-supervised and supervised NLP techniques. With a strong data science/research background and demonstrated commercial experience, you will play a pivotal role in working closely with our founders to understand the requirements of our user base and applying the cutting edge NLP techniques to deliver on those requirements.
This will require a mixture of both applying well understood NLP techniques together with the latest in edge NLP research where appropriate. Kapiche’s unique selling point is its natural language processing engine and you will be responsible for our entire NLP pipeline, from ideation, design, implementation and deployment. You'll have a chance to make major contributions to the product and drive our strategy.
We are at the cutting edge of our field and are searching for not only someone with the skills to do this role, but also importantly an ambition for success that matches our own. With an interest in publishing academic papers and keeping up to date on groundbreaking work through conferences/journals or industry circles, you are also always at the forefront of the advancements in this area. Review our existing NLP architecture and implement a more considered NLP pipeline that matches our research goals Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our product.
Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses. Plan projects using Agile practices and design experiments using sound scientific methodologies. Write high-quality code in Python using many open-source frameworks and libraries.
Implement and maintain a high-performance NLP Deep Learning pipeline in conjunction with our Engineering team. Collaborate with Founders and Product Managers to help shape the future direction of our product..