Senior ML Engineer, Recommendation Systems

Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale. Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements. Design ranking algorithms that balance relevance, diversity, and revenue while delivering real-time personalization Implement monitoring systems and maintain clear ownership for model reliability. The candidate should have 5+ years building and scaling production ML systems with measurable business impact and experience deploying ML systems serving 100M+ predictions daily.