Senior Machine Learning Engineer (f/m/d)

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

Benefits dieser Stelle

30 vacation days

Remote work options

Access to in-house gym

Relocation support

Employee Assistance Program (EAP)

Zusammenfassung

Applike in Hamburg seeks a Senior Machine Learning Engineer to architect and deploy recommendation systems for a leading mobile ad platform. You will develop and refine models impacting company revenue in a dynamic team focused on translating research into practical solutions.

The ideal candidate has over 5 years of experience in production-grade environments and expertise in deep learning using frameworks like TensorFlow or PyTorch. We offer a hybrid work model, relocation support, and competitive benefits to help you thrive in your new role.

Qualifikationen

• 5+ years of experience in high-volume environments like adtech or e-commerce.
• Hands-on experience in building and optimizing neural networks.
• Understanding of data engineering principles is a plus.

Aufgaben

• Architect and deploy high-throughput recommendation systems.
• Leverage large datasets to improve model performance.
• Own the lifecycle of machine learning models.

Kenntnisse

Production-grade recommendation systems

Deep learning

Software engineering

TensorFlow

PyTorch

Data engineering principles

Distributed data processing (Spark, Flink)

Tools

AWS Athena

MySQL

S3

Jobbeschreibung

#### Senior Machine Learning Engineer (f/m/d)* Hamburg* adjoe* Programmatic Data Science* Full timeApply for this jobadjoe 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 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.Apply for this job