You will:

Manage and grow a team of engineers that manage and expand the infrastructure, services and tools that make up our machine learning platform

Ensure that we are making machine learning capabilities available to all teams and finding new ways to leverage our data with machine learning

Leverage data scientist insights in creating novel, data intensive, complex and real-time products, while providing vision and tools for further investigations

Ensure that the training pipelines are kept fast, efficient and observable so that developers receive feedback on their changes

Develop key KPIs for our ML pipelines and services developed and ensure the team is maintaining high availability of all ML services

Make sure the team is data driven in all its decisions

Ensure that the team is owning our machine learning capabilities end to end and are motivated, happy and productive.

Requirements:

Degree in computer science or similar

At least 5 years of experience with machine learning platforms and technologies

At least 3 years managing a team of engineers with proven ability to grow your team/hire and keep them motivated

Practical experience in several machine learning topics such as computer vision, natural language processing, recommendation systems, bayesian networks and deep learning

A deep sense of ownership for what you do with clear, demonstrable experience of proactiveness

Ability to understand the impact of changes within an engineering organisation and how best to manage that impact

Our core values are very important to us:



Gas: We think big and take calculated risks to go for all business opportunities, no matter how challenging they are! We work hard as a team and execute fast.



Everyone Wins: We are here for the long run. Glovers, Partners, and Users are in the very center of everything we do. If they win, Glovo wins. So for every decision, we make sure we are positively impacting them.



Good vibes: Our teams are built of people that radiate positive energy and managers that are honest and fair. No assholes allowed! We stay optimistic no matter what, infecting each other with positivity, joy, and the desire to spend time together.



Stay Humble: Always act humble: Everybody must roll up their sleeves and get their hands dirty to make our big plans a reality. We are tiny! We are conscious of how big the opportunity is and how much we’ve got left to do.

Glownership: Act as one company—one team: Care first about Glovo, not your role or your department. Own your stuff, no question, but go beyond your role; help before you are asked. Everything you need to make things happen, you do it. Glow it!



If you believe you match these values, we look forward to meeting you!



Benefits:

A ticket to the moon sitting on the fastest rocket - an adventure filled with challenges and professional growth

Social benefits (such as fresh fruit every day, free lunches from our yummy partners once a week, beers on Fridays, Culture Days every 6 weeks, the best coffee machine in the world,...)

Private Health Insurance

Unlimited Glovos (zero delivery fee on your Glovo orders)

Attractive compensation and equity plan

Gym membership discounts

Back to School Fridays (it’s all about learning and sharing knowledge)

Team building activities

Relocation package

International and talented team, used to working in a fast paced and vibrant way!

Glovo is a global player in the on demand delivery space operating in 20+ countries and growing. In 2018 we launched a new city every 4 days on average. This kind of growth has presented us with many opportunities to leverage our data and machine learning in unique ways such as intelligent dispatching, recommendation systems and personalisation. Our data on cities and users is growing exponentially so unlocking the potential of this data will be key to the future success of Glovo. That is why we are seeking an experienced engineering manager with a machine learning background to help us build a platform that will expose machine learning to our teams with the right tools, services and abstractions. The Engineering manager for our Machine Learning team will lead a team of experienced machine learning engineers to help ensure efficient and rapid training and deployment of our models. You will thrive on seeing your team growing and delivering on impactful projects while finding new ways to leverage machine learning for the benefit of our users around the world. As the manager of the team, you will also be the support backbone of your team, helping them grow and ensuring that they are motivated by their work and are a high performing team.