Eigen Technologies London, UK
We are a research-led artificial intelligence company located in London and New York. We power our clients' ability to make data-driven decisions by distilling and understanding their data at scale. Our innovations enable our products to derive insights from unstructured data with significantly less training data than traditional methods. Our products are driven by machine learning, data science, and natural language processing methods. We apply them to qualitative data across multiple sectors, including legal, finance, and professional services. We are currently looking for an experienced machine learning/NLP researcher or engineer to join our Science team, directly contributing to the development of our core capabilities in the NLP and data science domain. YOUR OBJECTIVE: As a scientist at Eigen, you will focus on developing the core algorithms and solutions that power our products, providing domain insight and experience to be added to our talent pool. You will join a team of talented PhDs and engineers from a diverse range of background, such as Mathematics, Physics and Computer Science. You will work on a range of projects involving different aspects of machine learning and NLP, with particular emphasis on information extraction and information retrieval. WHAT YOU'LL BE DOING: Contribute to the constant improvement of our products, broadening the scope and power of our ML capabilities. Develop new tools and algorithms, from prototype script to production ready code, and make them available to the other technical teams of the company. Investigate new ideas and concepts, keeping up with the academic innovations in the field. Support your results letting data talk, i.e. ensuring a data driven approach is maintained both inside the Science team and in the wider business. SKILLS AND EXPERIENCE WE'D LOVE: Commercial experience (1+ yrs if PhD, 2+ yrs otherwise) in ML, NLP or data science. Robust Python coding skills, demonstrated in a commercial environment. Experience with Git and software testing.. Kindness and honesty: you respect your peers and colleagues, while defending your intellectual honesty and that of the whole team. You have the right and the duty to disagree, whenever you have scientific evidence to support your point of view. YOU'LL GET BONUS POINTS IF YOU HAVE: PhD in STEM degree (Computer Science, Engineering, Maths, Physics, etc.) or equivalent experience in a scientific or technical environment Commercial experience (2+ years) in ML, NLP and/or data science Excellent coding skills, with a focus on Python. Direct experience with NLTK, SpaCy, Scikit-learn, TensorFlow/PyTorch/Theano. Experience with both supervised and unsupervised ML strategies, especially in the information retrieval, information extraction, classification, clustering domains. Experience in data visualisation and related tools. YOU ARE: Intellectually curious. You want to solve problems, and abstract beyond. Driven. You are proactive in finding a solution to problems and explore new ideas. Passion towards theoretical and applied ML.• A team player. You enjoy collaborating with others and engaging both technical and non-technical people to disseminate your work and knowledge. Rigorous. You follow scientific rigour in your work, supporting and defending your results and point of view with data. Please note: we'll ask you to do a coding test if your application is successful. There is no expected solution, we just want to assess how you think, and what you try.