Senior Backend Engineer - Recommendations Systems (ML)

• 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
• Share knowledge through documentation, code reviews, and mentoring
• Contribute to technical strategy and team best practices

• 4+ years software engineering experience
• 1-2+ years building ML systems in production
• Strong Scala knowledge or closely related JVM languages, with strong functional programming experience
• 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
• You can debug issues across multiple systems and data sources

Python and Go are a Plus

• Extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
• Creativity and Wellness benefit
• Employee Equity Plan
• Generous professional development allowance
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• Free German courses at beginning, intermediate and advanced
• Various snacks, goodies, and 2 free lunches weekly when at the office