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
• Champion maintainable code over clever code - write clear, testable Scala/Python that your teammates can modify
• Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods

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
• Deep SQL skills for massive datasets (BigQuery, Spark)
• Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
• Experience with distributed data processing and ETL pipelines (Airflow, Spark)
• Understanding of data consistency patterns, eventual consistency, and the trade-offs

Nice to have

• Python and Go
• Familiarity with TensorFlow, PyTorch, or similar frameworks

What they offer

• Relocation support including allowances, flights, temporary accommodation, and on-the-ground support
• Creativity and Wellness benefit (gym memberships, courses, books, etc.)
• Employee Equity Plan
• Generous professional development allowance
• Up to 35 days of PTO annually
• 2 free lunches weekly when at the office