At Glovo, we are expanding our engineering team significantly as we aim to make everything accessible to anyone, anywhere. We will be creating new teams, new technologies and taking our engineering capabilities to the next level. To help us with this mission, we are looking for a strong Engineering Manager for the Machine Learning team that will help provide leadership and drive the delivery of projects within the team.

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.

Be part of a team where 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.

You have:

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

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