machine-learning-diabetes
Employment Type
Permanent
Job Location
London
Date posted
September 5, 2019
Machine Learning Engineers, London

Quin is a female-founded, digital health startup in Finsbury Park. We use science, engineering and design to help people with diabetes who take insulin make the best possible decisions about their self-care. We’re making an “on device” mobile app that learns how people do their self-care and gives them personalised advice on how to do it better. 

We’re looking for a Machine Learning Engineer to work as part of our engineering team. You’ll get immersed in the expanding amount of data collected from our beta users, and will use this to build more intelligent app features. We’re interested in applications from two different groups of people and feel we offer a fun, trusting and inclusive environment to both;

  • Data scientists with a passion from programming coming out of academia after a PhD, post-doctoral research or MSc who are looking to get stuck in and have an enormous impact in a commercial role
  • Early to mid-career data scientists or machine learning engineers who are comfortable being the only one of their kind in our business, who are looking for a deeper, more complex problem with enormous social impact on which to work
You will get to:
  • Design, build and evaluate machine learning experiments/prototypes 
  • Join our engineering team and integrate machine learning into the app and investigate new sources of data
  • Set things up and make informed decisions, often with incomplete information. This is a greenfield ML environment so you’ll be comfortable driving forwards without all of the data, relying on logic, collaboration and the scientific method, rather than your previous experience
  • Start with less than perfect algorithms that you can get into the hands of users within weeks and improve them over time
  • Work with academia (Bristol University, via our Innovate UK grant)
  • Join a glorious team of big brained, big hearted people who love board games and cake, in our converted house above a noodle shop in Finsbury Park
You bring:
  • Practical knowledge of algorithms and techniques both supervised (ML) and unsupervised (classification, clustering, recommender system, different regression techniques)
  • Core ML skills; you’re familiar with tuning models, you know how to debug and test a machine learning model, how to spot and solve overfitting and bias problems, how to scale features and improve data to make your algorithms work better
  • Familiarity with signal processing, bio-inspired computation and control systems would make us really happy
  • Enthusiasm for small data sets and sparse ML (we don’t have a data lake for you to swim in)
  • Enough programming experience to prototype solutions to problems (Core ML, Python, Swift), an interest in agile software engineering skills and at least one programming language that isn’t R
  • Familiarity with Apple frameworks such as Core ML, Accelerator and BNNS or a keen interest in learning them
Contacts

Quin challenges conventional thinking and the received wisdom of the medical and pharmaceutical worlds. We work with a massively diverse set of user needs, turning human experience into science. We believe the more inclusive we are, the better our product will be. To do that, we’ve created an environment where everyone can bring their whole selves to work, and we welcome applications from all.

If you would like to find out more, please email suzi@quintech.io

Position: Machine Learning Engineers, London

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