Job Details

Senior Machine Learning Engineer

SF Bay Area: Hybrid (3 days onsite/wk)

$175,000 - $200,000 Base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior 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 Senior 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

• Solid foundation in distributed computing pipelines and observability
• 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
• Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools

Requirements

• Solid software engineering foundation with Python and backend/data systems
• Experience deploying ML models in production at scale
• Exposure to 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