Staff Machine Learning Engineer SF Bay Area: Hybrid (3 days onsite/wk) $270,000 - $325,000 Base + Equity A 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. Role We’re looking for a Staff MLE to 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. Responsibilities • Lead architecture and system design for large-scale ML systems (batch & real-time) • Deploy experimentation-ready models into production with DS partners • Build robust MLOps pipelines for serving, monitoring, and optimizing models • Develop real-time inference systems, including vector database integrations • Mentor junior engineers and foster a high-performance technical culture • Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools Requirements • Strong software engineering foundation with Python and backend/data systems • Proven experience deploying ML models in production at scale • Expertise in distributed systems, performance tuning, and cost optimization • Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow • Experience with real-time and batch pipelines, feature stores, and scalable inference • Marketplace, e-commerce, or large-scale content platform experience • Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection