Senior Machine Learning Engineer, Recommendations (Experience)

About the role

We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience.

What you'll do

• Develop, test, and productionize ML models
• Make technical decisions considering cost, latency, complexity, and maintainability
• Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
• Design and implement data pipelines, feature engineering, model training, and serving infrastructure
• Write technical RFCs and communicate trade-offs to diverse stakeholders
• Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
• Debug complex issues across data pipelines, ML models, and distributed systems
• Champion maintainable code over clever code - write clear, testable Scala/Python that your teammates can modify

What you'll need

• 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
• 4+ years of software engineering experience - you write production code, not just notebooks
• Strong Scala knowledge or closely related JVM languages, with strong functional programming experience. Python and Go are a Plus
• Deep SQL skills for massive datasets (BigQuery, Spark)
• Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
• Familiarity with TensorFlow, PyTorch, or similar frameworks
• Experience with distributed data processing and ETL pipelines (Airflow, Spark)
• Understanding of data consistency patterns, eventual consistency, and the trade-offs

What they offer

• Employee Equity Plan
• Generous professional development allowance
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• Creativity and Wellness benefit
• Extensive relocation support including allowances, one way flights, temporary accommodation
• Free German courses at beginning, intermediate and advanced