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Software Engineer @ Zoe- Advanced AI and Machine Learning in Genetic Epidemiology and Nutrition

Remote:

Full Remote

Salary:

90 - 90K yearly

Work from:

United Kingdom

Offer summary

Qualifications:

Proficiency in Python and Django, Experience with React and Typescript, Knowledge of machine learning, Open to diverse engineering backgrounds.

Key responsabilities:

Develop and maintain software applications
Tackle complex problems in machine learning

techruiter. Hrtech: Human Resources + Technology Startup https://www.techruiter.io/

11 - 50 Employees

See more techruiter. offers

Job description

ZOE is a revolutionary, $47-Million Series B funded start-up working at the core of ML and Engineering -- to understand, predict, and decipher the effect of nutrition on your body, my body, and millions of bodies around the globe. And that's just the beginning...

Imagine having the top 1% of Research Scientists in the World, the most financially successful co-founders and entrepreneurs, and the most sought after Engineering Leaders in London -- on your arsenal -- you will understand why ZOE has received $26 million in Series A funding when they were still at ‘idea stage’

But that's not all. ZOE have now launched their Wider Health Studies Program where they have over half a million people who have pledged their data for research into Cancer, Dementia and Heart Disease. Take a closer look at the video below from Tim Spector, the Co-Founder of ZOE:

https://youtu.be/BrbkB_32TCk

We have also been working on the COVID Symptom Study app which you may have seen on [BBC/Sky News](https://www.bbc.co.uk/news/technology-52033210). We built the app in 7 days and it is being used by 4.5 million people in the UK! Through this, we are getting vital information on a daily basis, which is providing critical research

Now is your chance to join this team.

For the techies that like to know the details, here is the tech stack: Python, Django, React, React Native, Typescript, PostgreSQL, REST, gRPC, Kubernetes, GCP and more... BUT are open to engineers with backgrounds in different technologies, so are looking for people who are true "tech agnostics"!

We tackle a range of complex problems on machine learning, data engineering, logistics or user experience to enable our customers to understand how their body responds to food and improve their long-term health, so if this sounds like an opportunity for you- please apply below!