Founded in 2013 Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees 7 billion downloads and over 200 million active users Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes charttopping games like Mob Control and Block Jam alongside popular apps such as BeReal and Wizz.
Team
Voodoo AdNetwork is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoos firstparty data to improve Voodoos monetisation. Moreover the product is growing through new ventures like opening up to external inventory reaching the externaladvertisers market and socialnetwork monetisation through BeReals recent acquisition. Thanks to promising results our ambition is now to scale up the team to support growth.
The product is composed of toptier software engineers infrastructure engineers data engineers mobile engineers and data scientists.
The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the products financial performance. Its composed of mostly senior Data Analysts Analytics Engineers Data Engineers and Data Scientists/ML Engineers who iterate together on finding and building the next performing iteration.
This position is hybrid and requires 23 days per week in the office based in Paris.
Improve existing models or propose new approaches to our current install rate and LTV estimation models
Build and deploy scalable ML systems.
Swiftly tackle incidents and strive to make the system robust
Work closely with product managers and other engineers to ensure that incremental ML performance translates into significant business impact
Discuss stateoftheart ML topics with other data scientists share ideas and challenge existing systems
Gain an understanding of and engage in developing a variety of essential components to build an advertising network including A/B testing systems budget management creative selection performance monitoring campaign optimization app profiling and user profiling
Regularly examine the performance of the ad network to detect anomalies or propose new datadriven ideas.
Profile
35 years of experience building machine learning systems
Prior experience working in dynamic productionfocused environments
Youre excited by the latest deep learning advancements but also familiar with the ins and outs of gradient boosting
You like to deepdive into complex topics to squeeze the last bit of performance
You enjoy working in a team learning new things sharing knowledge
Excellent communication in English is mandatory French is a nicetohave
Strong achievements on Kaggle will be valued
Benefits
Competitive salary
Comprehensive relocation package (including visa support)
Premium healthcare (SideCare) for you and your family 100% borne by Voodoo
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