London, England, United Kingdomhttps://signal.workable.com/jobs/767465DESCRIPTION
About SignalSignal has created a platform for analysing text and discovering market intelligence. Our large-scale text analytics system (currently processing more than 3 million documents a day in real-time) unlocks knowledge and insights from unstructured textual data using diverse text analytics and machine learning components. To do this, we face multiple challenges. For instance, we need near de-duplication in real-time to group similar articles from different publications, or entity disambiguation so that we can identify if, for example, a mention of “apple” refers to the fruit or the tech company. Our media monitoring product, built on top of our technology, is enabling organisations to solve real-time complex information challenges (e.g. “All the news related to IPOs of European technology companies”).
We work closely with world-leading academics in Information Retrieval, Natural Language Processing and Machine Learning via academic collaborations and visiting research programmes. Indeed, we are active in writing academic publications and organising academic events.
We Signallers are friendly and informal people! We are passionate about our Brand as we all have a stake in our success. We have an inclusive environment welcoming the skills and experience from many diverse backgrounds, together we have created who we are and what we sell. We are proud of our achievements and continue to strive for the unknown.
We are a venture-backed company, having already secured £12m in its latest Series B funding round from investors such as GMG Ventures, MMC Ventures, Frontline Ventures, and Reed Elsevier.
What will you be doingYou will work in a cross-functional-team to innovate, collaborate, and iterate in developing solutions to difficult problems. This includes understanding our clients’ challenges; proposing methods to solve problems; conducting rigorous experimentation to evaluate them; proposing novel models; implementing solutions; defining suitable metrics to measure the effectiveness of the developed solutions and working closely with engineers and other stakeholders to deploy it in production.
Also, you will be involved in supervising and coordinating visiting researchers (usually PhD students) and MSc students; writing and publishing academic papers; and promoting our research and data science brand through representing Signal in academic and industrial conferences.
REQUIREMENTS
YOU SHOULD APPLY IF:
- You have applied research experience in industry evidenced by delivering business impact
- You have theoretical knowledge and practical usage of machine learning, natural language processing and/or information retrieval with a track record of academic contributions
- You have strong written and verbal communication skills and you are comfortable expressing your ideas to different audiences
- You have experience and knowledge in processing and analysing large data sets
- Ability to set priorities, and an execution focus in a dynamic environment
- You have solid software development skills (e.g. in Python) and experience in ML and NLP libraries (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, Gensim, SpaCy, …)
- You have a track record of published work in major international conferences or Journals (e.g., KDD, SIGIR, ACL, ICML, NeurIPS, ICASSP, IEEE Transactions, ...)
- You have an MSc or a PhD in a field related to Data Science, Natural Language Processing or Machine Learning