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Jobs(30,434)/Machine Learning Engineer Role(358)/adjoe (4) - Senior Machine Learning Engineer (f/m/d)
adjoe

adjoe - Senior Machine Learning Engineer (f/m/d)

Hamburg, Germany, Hybrid1mo ago
In OfficeSeniorEMEAMental HealthArtificial IntelligenceCloud ComputingMachine Learning EngineerSoftware EngineerGoal SettingE-commerceKafkaAWSMySQL

Requirements

• 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. • Invest in Your Future: • 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. • Easy Arrival to adjoe: • 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). • Live Your Best Life, at Work and Beyond: • 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. • Thrive Where You Work: • We welcome applications from people who will contribute to the diversity of our company.

Responsibilities

• Architect and deploy a high-throughput, low-latency recommendation system capable of scaling to millions of users and billions of daily requests. • Architect and deploy a high-throughput • Leverage Large Scale Dataset: identify relevant signals to improve model performance. • Leverage Large Scale Dataset • Develop and refine relevance models, bidding strategies, using advanced machine learning techniques, directly influencing the company revenue. • Develop and refine relevance models • Own the end2end lifecycle of production machine learning models, including rigorous monitoring, in-depth performance analysis, and data-driven iterative improvements. • Own the end2end lifecycle of production machine learning models • 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. • Collaborate closely with backend engineering teams • Conduct rigorous A/B testing and experimentation, Validate your hypothesis and measure the impact of new features on key business metrics. • Conduct rigorous A/B testing and experimentation

Benefits

• 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.

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