Staff MLE

Staff Machine Learning Engineer SF Bay Area: Hybrid (3 days onsite/wk)$270,000 - $325,000 Base + EquityA leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact. RoleWe're looking for a Staff MLEto take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you'll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You'll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally.ResponsibilitiesLead architecture and system design for large-scale ML systems (batch & real-time)Deploy experimentation-ready models into production with DS partnersBuild robust MLOps pipelines for serving, monitoring, and optimizing modelsDevelop real-time inference systems, including vector database integrationsMentor junior engineers and foster a high-performance technical cultureTackle challenging problems in personalization, fraud prevention, search, and GenAI toolsRequirementsStrong software engineering foundation with Python and backend/data systemsProven experience deploying ML models in production at scaleExpertise in distributed systems, performance tuning, and cost optimizationProficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlowExperience with real-time and batch pipelines, feature stores, and scalable inferenceMarketplace, e-commerce, or large-scale content platform experience Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

Created: 2025-10-02