Machine Learning Engineer

We are redefining how people approach their health
ZOE is combining scientific research at a scale never before imagined and cutting-edge AI to improve the health of millions.  Created by the world’s top scientists, our personalised nutrition program is radically reimagining a fundamental human need – eating well for your own body. Currently available in the US, and with a waitlist of more than 250,000 in the UK, ZOE is already helping tens of thousands of ZOE members adopt healthier habits and achieve their goals. We are also the team behind the popular COVID Symptom Study, which played a critical role in the fight against COVID in the UK and has now expanded to become the ZOE Health Study (ZHS). ZHS uses the power of community science to conduct large-scale research from the comfort of contributors’ homes to understand health and prevent disease. . Our collective work and expertise in biology, engineering, data science, and nutrition science has led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more. A remote-first, well-funded startup, we are backed by founders, investors, and entrepreneurs who have built multi-billion dollar technology companies. We are always looking for innovative thinkers and doers to join our team on a thrilling mission to tackle epic health problems that span the globe. Together, we can improve human health and touch millions of lives. We value inclusivity, transparency, ownership, open-mindedness and diversity. We are passionate about delivering great results and learning in the open. We want our teams to have the freedom to make long-term, high-impact decisions, and the well-being of our teammates and the people around us is a top priority.
About the teamOur product engineering teams build the software that powers the core ZOE experience. We help our members achieve their health goals and give them access to the best nutrition advice that science can offer. Our cross-functional teams have unique challenges: we turn our science into delightful user journeys, programs and recommendations that lead to life-changing experiences. We combine mobile development with backend, machine learning and deep domain expertise.
We are heavily investing into machine learning, and in particular recommender systems to power new features such as - Recipe recommendations - Meal improvements recommendations - Content recommendation (articles, podcasts, lessons) - Lifestyle insights and advices

You'll be

• Working in a cross functional team alongside product managers, data analysts and software engineers to train and deploy models in production that improve our customer experience
• Designing, building, and managing data pipelines and ensuring the quality of the datasets
• Analysing and visualising datasets to extract insights
• Building algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
• Evaluating and benchmarking state-of-the-art methods
• Researching and implementing best practices to improve the existing machine learning infrastructure

We think you'll be a great fit if you are...

• An ML engineer who is intellectually curious and who has built recommender systems previously, in production.
• Experienced working on the whole pipeline: from data collection to productionising and analysing the performance of machine learning models
• Experience with MLOps tools and platforms
• A great communicator that can inspire others to follow their technical leadership
• Experienced working in a high pace environment. You lead by example, contribute to the roadmap, get your hands dirty and get things done

Our interview process..

• Intro to ZOE with a Talent Partner (30 mins)
• Engineering intro with one of our Engineers or Engineering Managers (30mins)
• Code Review (60 mins),  ML Systems Design (60 mins) & Data Science (60mins) - As part of this stage, we will ask you to teach us something technical asynchronously (text or video) to assess your ability to go in-depth and communicate
• Behavioural interviews (30 mins) with an Engineering Manager, followed by a meet with our VP of Engineering (30 mins)

This isn't for you if:💔 Our mission to help people live healthier lives doesn’t excite you.💔 You aren’t comfortable with ambiguity, or thinking from first principles.💔 You don’t enjoy working in a fast paced environment.💔 You aren’t happy taking an MVP approach and doing what’s good enough for now Why you’ll love it hereDiscover our values and our career page to find out more.⭐ You'll be energised by testimonials of members who had life-changing experiences⭐ You’ll be surrounded by the most friendly, supportive colleagues you can imagine. We have assembled the sharpest minds from diverse backgrounds⭐ As we grow, so will you! ZOE’s fast-paced, challenging environment offers you great opportunities for professional development, supported by a yearly growth budget ($200 no question asked budget and up to $1,000 with your manager's approval).⭐ We embraced flexible and distributed working and keep everyone informed through our transparent culture. You will be in complete control of your work environment. We have an office open to you, but you are never required to use it. You can choose whether to come in and meet colleagues face to face, or be fully remote⭐ Switching off is important! At ZOE, we understand that to do your best work, you also need to be able to relax and connect with your colleagues. Enjoy our fun virtual and face-to-face social events, supported by a $70/month social budget

What we can offer you: - Stock options for all employees, be rewarded long-term, for your contribution to our growth - Remote first - Work from home, our London/Boston offices, or within the EU. Get yourself set up comfortably at home with a WFH equipment budget- 28 days annual leave - 25 days as standard (20 in the US), 2 company reset days for us all to reset and recharge, and 1 Life Event day per year to use on the day that means most to you- Pension plan - We’ll contribute to your pension plan, and you can top up what you like- Enhanced parental leave scheme - Private healthcare and life assurance packages (401k in the US)- Health and wellbeing packages- including Employee Assistance Program and Cycle to work schemes - Allocated monthly social budget