Senior · Гибрид · Гамбург, Германия · Английский B2
Навыки
Airflow
Android
AWS
Data Lake
E-commerce
Flink
iOS
Ещё 12
Jira
Kafka
Machine Learning
MySQL
Ответственность за результат
Programmatic / DSP
PyTorch
S3 (объектное хранилище)
Spark
Iceberg / Delta Lake
TensorFlow
Trino / Presto
О компании и продукте
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. 50 Billion Daily Bid Predictions
Your Mission & Who We Are Looking For
Требования
The adjoe Ads Data Science team owns the entire bidding algorithm that decides which ad you are most likely to enjoy from start to finish: conversion prediction, user quality estimation, and bid shading
Every bid adjoe placed in an ad auction is the output of ML models making 50 billion predictions daily, trained on data from our mobile SDKs that capture real user behavior at scale
The team moves fast: new ideas tested offline, A/B tests launched in production within minutes
We rely on industry-proven state of the art technology, adapted to our needs and self-hosted where it matters: PyTorch and TensorFlow for modeling, Trino and Athena for querying a 350TB Iceberg data lake, Airflow and Ray for orchestrating our different training pipelines across multiple GPU clusters
Models are built on 600+ features and trained on 200 million data points, with the full ML lifecycle owned by the team from research and experimentation to deployment and real-time inference at sub-200ms latency
5+ years building production-grade recommendation systems
You've deployed large-scale systems in high-volume environments (adtech, e-commerce, or search), and have hands-on expertise in deep learning with TensorFlow, PyTorch, or JAX
At adjoe Ads, that means architecting high-throughput, low-latency systems that scale to 10 billion daily predictions
End-to-end model ownership
You own the full ML lifecycle from identifying relevant signals in large datasets and developing relevance models and bidding strategies, to rigorous monitoring, performance analysis, and iterative improvement in production
Engineer first, data scientist second
You write production-quality code, design for scalability, and collaborate closely with backend engineering teams to ensure seamless integration of reusable models and assets into the broader system
Experimentation is part of your workflow
You run rigorous A/B tests, validate hypotheses, and measure the impact of new features on key business metrics, not just offline evaluation
Plus: data engineering fluency
Understanding of data engineering principles and experience with distributed processing systems like Spark, Flink, or Kafka, and storage solutions like AWS Athena, S3, or MySQL is a strong plus
Условия
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech
The systems you work on will reach hundreds of millions of users and power billions of decisions every day
Go Big. Own projects with impact on 770M users and push adtech boundaries
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum
Be Direct. Solve problems openly and collaborate across teams
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy
We welcome applications from people who will contribute to the diversity of our company
We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
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История публикации
Появилась в Вакандии26 дней
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ГрейдSeniorвычитано из текста вакансии
Формат работыГибрид
ГеографияГамбург, Германиявычитано из текста вакансии
Зарплата≈ 20 000 USD в месяцнаша оценка, в вакансии не названа
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ashbyОсновная публикация · 2026-05-29
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