adjoe GmbH is hiring a Machine Learning Engineer (f/m/d) for its Programmatic Data Science team. You will architect and deploy cutting-edge algorithms for our real-time bidding ad network, owning the end-to-end lifecycle of production ML models that serve millions of users.

What You'll Do

Architect and deploy a high-throughput, low-latency recommendation system capable of scaling to millions of users and billions of daily requests.
Leverage large-scale datasets to identify relevant signals to improve model performance.
Develop and refine relevance models and bidding strategies using advanced machine learning techniques, directly influencing company revenue.
Own the end-to-end lifecycle of production machine learning models, including rigorous monitoring, in-depth performance analysis, and data-driven iterative improvements.
Collaborate closely with backend engineering teams to design and implement robust, scalable, and production-ready machine learning solutions.
Conduct rigorous A/B testing and experimentation to validate hypotheses and measure the impact of new features on key business metrics.

What We're Looking For

2+ years of proven experience developing and deploying production-grade recommendation systems in a high-volume environment (e.g., adtech, e-commerce, search).
Demonstrated expertise in deep learning, with hands-on experience building and optimizing neural network architectures for recommendation tasks using TensorFlow, PyTorch, or Jax.
You are a software engineer at heart.

Nice to Have

Understanding of data engineering principles.
Experience working with large-scale distributed data processing systems (e.g., Spark, Flink, Kafka) and data storage solutions (e.g., AWS Athena, S3, MySQL).

Technical Stack

TensorFlow, PyTorch, Jax, Spark, Flink, Kafka, AWS Athena, S3, MySQL

Team & Environment

You will join the Programmatic Data Science team, a fast-moving group that rapidly translates theory into impactful solutions. We collaborate closely with product and business stakeholders and believe in working together and celebrating together.

Benefits & Compensation

Regular feedback and a development program to support growth and skill expansion.
Relocation support including visa assistance and a relocation bonus for moving to Hamburg.
Hybrid work setup with 3 core office days and flexible working hours.
30 vacation days.
3 weeks of remote work per year.
Free access to an in-house gym with fitness classes.
Mental health support through an Employee Assistance Program (EAP).
Central office with lake view, top-notch equipment, and snacks and drinks.
Regular team and company events, including hackathons and social gatherings.