Description
We are looking for a Machine Learning Manager to join our Data Products mission in Berlin. As ML 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.
Responsibilities:
- 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
- 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)
- 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 blog.
You can also take a look at our Tech Radar for an insight into our stack.