For Glovo, being a fast growing startup has meant that for years we have prioritized productionizing ML models over engaging frequently with the research community. In the last year, however, we felt like we reached the maturity stage needed to start engaging with the rest of the AI community. To help with this, we founded a new team within our Central Data Science organization: the CORE (Collaboration and Research) team. CORE's mission is to explore high-risk high-reward R&D projects in the AI space, foster scientific publications and increase conference attendance. A key part of this initiative is sponsoring and participating in relevant AI conferences.

With food at the core of the business, Glovo delivers any product within your city at any time of day. Our vision and ambition are not only to make everything immediately available in your city but it is also to offer our employees the job of their lives. A job where you'll be challenged and have the most fun working in through tech-enabled experiences. Your work-life opportunity: Glovo (glovoapp.com) is looking for a passionate, proactive, data-driven and hands-on professional to support our Live Operations Strategy & Analytics department in our headquarters in Barcelona. You will be the reporting and analytical point of contact for our Live Operations department helping provide an excellent and efficient service.

With food at the core of the business, Glovo delivers any product within your city at any time of day. Our vision and ambition are not only to give everyone easy access to everything in their city, but it is also to offer our employees the job of their lives. A job where you'll be challenged and have the most fun working in through tech-enabled experiences. Your work-life opportunity: Glovo is looking for a Business Analyst for the Global Partner Operations team. You will join a team of project managers and fellow analysts aiming to deconstruct operational performance of our Partners and deploy creative solutions to ensure a great experience for Glovo customers.

When we talk about machine learning, we're talking about a direct application of artificial intelligence that allows a system to learn from experience rather than instruction. In the on-demand delivery space, companies are putting machine learning and predictive analysis to use to track trends, pre-empt requests and enhance the last-mile delivery service. Our'always-on' culture means that customers expect rapid and relevant user experiences. Today, delivery companies have to be agile and responsive in order to retain customers. One glitch, one delay and customers could take their business elsewhere.