Harnham
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 Were looking for a Senior MLE
to take technical leadership of a core AI initiative. This is a
high-impact, hands-on role
where youll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. Youll 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
(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 Were looking for a Senior MLE
to take technical leadership of a core AI initiative. This is a
high-impact, hands-on role
where youll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. Youll 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