Senior Machine Learning Engineer (f/m/d)

adjoe; Hamburg; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Relocation support

30 vacation days

In-house gym

Mental health support

Team events

Zusammenfassung

adjoe in Hamburg is seeking an experienced engineer to develop and deploy cutting-edge recommendation systems within a dynamic programmatic data science team. This role demands 5+ years of proven experience in high‑volume environments, alongside deep learning expertise, notably with TensorFlow or PyTorch.

The ideal candidate will own the entire lifecycle of machine learning models, collaborate with backend engineering, and influence company revenue through innovative strategies. Enjoy benefits like hybrid working, 30 vacation days, and support for relocation to Hamburg.

Qualifikationen

• 5+ years of experience developing production‑grade recommendation systems.
• Expertise in deep learning with neural network architectures.
• Software engineer with an understanding of data engineering.

Aufgaben

• Architect and deploy scalable recommendation systems.
• Identify signals to improve model performance.
• Develop bidding strategies influencing revenue.
• Own lifecycle of machine learning models.
• Collaborate with backend engineering teams.
• Conduct A/B testing to measure feature impacts.

Kenntnisse

Deep learning

Recommendation systems

Machine learning techniques

Data engineering principles

Software engineering

Tools

TensorFlow

PyTorch

Jax

Spark

Flink

Kafka

AWS Athena

MySQL

Jobbeschreibung

adjoe is a leading mobile ad platform developing cutting‑edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: Programmatic Data Science

Did you know that in‑app ads are sold in a real‑time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, going against industry giants to present its own ads.

In the competitive real‑time bidding landscape, the Programmatic Data Science team operates at a rapid pace, developing cutting‑edge algorithms, to create systems that outperform industry giants. Our approach is deeply rooted in rigorous research into user behavior, publisher and advertiser objectives, ensuring an optimal user experience. We are a fast-moving team that rapidly translates theory into impactful solutions, using state‑of‑the‑art technologies and collaborating closely with product and business stakeholders.

What You Will 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 Dataset: identify relevant signals to improve model performance.
• Develop and refine relevance models, bidding strategies, using advanced machine learning techniques, directly influencing the company revenue.
• Own the end2end 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, ensuring seamless integration and industrialization of reusable models and assets.
• Conduct rigorous A/B testing and experimentation, validate your hypothesis and measure the impact of new features on key business metrics.

Who You Are:

• You have 5+ years of proven experience developing and deploying production‑grade recommendation systems in a high‑volume environment (e.g., adtech, e‑commerce, search).
• You 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.
• Plus: you have an understanding of data engineering principles.
• Plus: experience working with large‑scale distributed data processing systems (e.g., Spark, Flink, Kafka) and data storage solutions (e.g., AWS Athena, S3, MySQL).

Fuel for the Journey: Benefits to Support Your Ambitions

• Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
• Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
• Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in‑house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
• Thrive Where You Work: Enjoy the Alster lake view from our central office with top‑notch equipment, fun open spaces, and a large variety of snacks and drinks.
• Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.

We welcome applications from people who will contribute to the diversity of our company.