At Adevinta, we believe everything and everyone has a purpose in life. Our selection of digital brands unlock the full value in every person, place and thing by creating perfect matches on the world’s most trusted marketplaces.
With trusted brands that enjoy leading market positions, Adevinta operates a resilient business model at the centre of the second-hand economy at the time when consumers are seeking more sustainable and cost-efficient ways to buying products.
Sustainability is in our DNA, and we are recognised as a global sustainability leader by DJSI Europe. By providing marketplaces where people buy and sell second-hand goods, we contribute to the circular economy and help people live more sustainably.
At Adevinta we'll stay ahead of the curve by using innovation, curiosity and technology to develop products that help everyone and everything find new purpose.
We're all about matchmaking, and we take the same approach to hiring. But it's not just about finding the right skills for the job. It's also about making sure the role and the culture are the right match too.
We care about gaining and keeping the trust of our users, customers and stakeholders by acting responsibly, promoting sustainability and protecting the environment.
We invest in companies with tangible traction, a potential to scale beyond their domestic market, and who we can support with more than just financial resource.
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The team:The First Party Advertising technology team (iCAS) is looking for a Machine Learning / Data Engineer to strengthen the team. We are building an internally used advertising engine combined with seller tools, to deliver shopping listings to the multiple platforms we have within the Classifieds Group. Some of our complexities is the high traffic and volume demand, high uptime, handling click-fraud and optimising the listings being shown.We do this through a technology stack mainly running through Go-lang based microservices, with eventing on Kafka, reporting on Clickhouse and Datastorage on MySQL. We run these services through Nomad on our own private cloud, and we handle the dev-ops activities such as deployment (Github, Jenkins), uptime (lot's of 9s), monitoring (Prometheus, Pagerduty, Grafana) and maintenance as well. Our frontend is based on NodeJS and Knockout. This stack is in constant evolution and flux to support growth as well as our own efficiencySome numbers:
What you’ll do:Your initial role in the team is to help in-house an externally developed auction simulation and auto-bidding engine based on Reinforcement Learning (Soft Actor Critic). You will take the lead on moving this from Proof-of-concept to fully integrated into our main product and infrastructure, together with the rest of the team of Backend and Devops Engineers (Go-based). Long term our goal is to expand on our Machine Learning infrastructure, as well as explore new venues on machine learning (either iterations or new possibilities).If you are a good practical data engineer with affinity in both maintaining machine learning infrastructure and model development, come work for us! You won't regret it.
Who you are:
What you’ll get from us:
Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
Covid-19: We’re reviewing the situation on a regular basis to ensure that we follow all local government guidelines and put the health of our people first. All interviews are currently taking place virtually.
We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month.
We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less.
Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.
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