We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant.
To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available.
Babylon was included in WIRED’s 2016 Top 100 Hottest Startups in Europe and CB Insights 2017 Global ‘AI 100’ list. Fortune Magazine included Babylon in their 2017 list of ’50 Companies Leading the AI Revolution’, the only listed company using AI in healthcare delivery.
At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us.
We serve millions, but we choose our people one at a time…
Purpose of the Role
Be a generalist able to connect dots and to translate product & data science ideas into the engineering system, with an emphasis on Machine Learning techniques, including Probabilistic Graphical Modelling.
·Own end-to-end a product improvement idea from inception & initial modelling to implementation, testing & monitoring in the live system
·Implement new product user experiences on top of the engineering system using available infrastructure & abstractions;
·Collaborate with “specialists” ie data scientists and researchers to come up with new ideas
Key Skills required:
·Code proficiency: being able to navigate complex codebases and leverage existing abstractions
·Knowledge of software engineering best practises: testing, CI, logging, monitoring, …
·Knowledge of ML techniques & theory, ideally with a specialisation in a particular domain/field (PGM, NLP, Information retrieval, …)
·A curious mind interested in the product vision as well as the technical aspects;
·Great communication skills to be able to engage with a large variety of collaborators (from researchers to engineers and dev-ops);
Qualifications and Experience:
·Msc in computer science or other quantitative field
·Exposure to writing and maintaining production code
·Mastery of a programming language
This job description is non-exhaustive and may vary due to the needs of the business.