Staff Machine Learning Engineer
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Die Stelle
Lead the design and deployment of low-latency, real-time ML pipelines powering ad bidding and delivery at scale.
Build scalable forecasting, yield optimization, and media planning systems while integrating signals from data engineering and third-party data sources.
Drive experimentation through A/B testing and continuous model optimization, establishing robust MLOps, retraining workflows, and model monitoring.
Define architecture standards and tooling for production ML, including versioning, deployment pipelines, and CI/CD practices.
Mentor and partner with senior and junior engineers to raise ML engineering standards and ship impact-driven features.
Requires 8+ years in ML or data engineering with 2+ years in high-scale, real-time systems; strong Python, TensorFlow/PyTorch, and production ML tooling.
Build scalable forecasting, yield optimization, and media planning systems while integrating signals from data engineering and third-party data sources.
Drive experimentation through A/B testing and continuous model optimization, establishing robust MLOps, retraining workflows, and model monitoring.
Define architecture standards and tooling for production ML, including versioning, deployment pipelines, and CI/CD practices.
Mentor and partner with senior and junior engineers to raise ML engineering standards and ship impact-driven features.
Requires 8+ years in ML or data engineering with 2+ years in high-scale, real-time systems; strong Python, TensorFlow/PyTorch, and production ML tooling.
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