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maak plasing gnstling Engineering Manager - Machine Learning (Berlin) verskuil hierdie plasing maak sigbaar

kompensasie: tbd
werktipe: voltyds

We are looking for a senior Engineering Manager with expertise in Machine Learning to join our Data Products mission in Berlin. As an Engineering Manager, you will work with the team focusing on large-scale bidding and search term value prediction. In this role, you will have the opportunity to develop your craft, grow your team, and build products that have a significant impact on the business.

Team Mission:
The Data Product team's mission is to transform our vast amount of data into intelligent products our customers love. Working in cross-functional teams, we tackle a variety of problems and use state-of-the-art algorithms and data infrastructure.


Lead engineers and scientists who work on the Bidding team
Work together with the team to set goals, plan roadmaps, and achieve results across responsibilities such as algorithm performance, scalability, reliability, and ease of use
Serve a diverse group of data practitioners by mentoring and coaching machine learning engineers and data scientists to reach their full potential
Contribute to the engineering leadership team, shaping our engineering and wider company culture
Bring excellent people onboard by actively involving yourself in hiring for your own and other teams in the company


Experience leading technology team(s) in the data domain and ability to work hands-on when needed
Strong background in machine learning (ideally prediction problems) or a related field
Track record building end-to-end data products, from prototype to production
Experience working with large datasets at scale, with tools like Spark, Hadoop, Kafka, Parquet etc
You thrive in a customer-centric and data-driven environment
You are passionate about business results and people, not just technical expertise
Excellent written and verbal communication skills in English as well as strong interpersonal skills

Nice to have:
Hands-on experience with Scala and Spark (MLlib and Airflow is a plus)
Experience in a B2C startup environment (travel or e-commerce industry is a plus)

We offer:

Work on a product that helps craft memorable travel experiences
Smart, engaged, and open-minded co-workers
Speak English in the office with people from over 50 nationalities
Relocation assistance
Virtual stock options - be part of our success story
Annual external training budget - always be learning
Quarterly Hackathons and weekly tech talks
Well-stocked kitchen and our famous pizza & beer Fridays
Sports benefits such as Urban Sports Club and weekly yoga classes
GetYourGuide vouchers and free German lessons

You can get in touch with us via wys kontakinligting , and make sure you check out life at GetYourGuide on our blog.

You can also take a look at our Tech Radar for an insight into our stack.

Please apply directly via the following link:
  • Slegs besigheidseienaars. Werwers, moet asb. nie hierdie werkplaser kontak nie.
  • moet ons NIE met ongevraagde dienste of aanbiedinge kontak

plsing-ID: 6747895257



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