Senior Machine Learning Engineer (f/m/d)
9.0/10
adjoe
$90,000 – $135,000 USD
Remote
senior
26 days ago
aitechmachine learningdeep learningTensorFlowPyTorchJaxdata engineeringSparkFlinkKafkaAWS Athena
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Description
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.
Benefits to Support Your Ambitions
- •Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
- •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.
- •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).
- •Enjoy the Alster lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
- •Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
Requirements
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).
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