We are building machine learning models to predict health outcomes from an individual’s metabolism and nutrition, based on the latest published research, our own clinical studies and direct consumer engagement. Join us in tackling wide-ranging technical challenges from DNA analysis, to machine learning, to building products for web scale. We are a well-funded new start-up (currently in stealth) from a team that has built billion-dollar revenue businesses from scratch, beaten Google on its home turf of machine learning for advertising, and includes some of the 1% most cited scientists in the world.
We are going to generate terabytes of health data from our own clinical studies and direct consumer engagement. We will design and build systems first to collect, store, analyse and predict this data, then to help customers understand and follow their evolving personalised nutritional recommendations. We are building our data processing and analysis pipeline from scratch with Python data science / machine learning toolkits running on top of AWS and following an agile development approach with Jira, daily stand-ups and git.