Senior Staff Engineer, Machine Learning Platform
Core
Design and scale infrastructure and frameworks enabling machine learning development, experimentation, and production for a global adtech ecosystem handling trillions of impressions.
Role type
Senior Staff Machine Learning Platform Engineer
Builds
Next-generation ML platform for adtech, including bid stream troubleshooting, competitive intelligence, forecasting, reinforcement learning, and RAG systems.
Domain
AdTech / Machine Learning Infrastructure / Big Data
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Spark, Hadoop, Kafka, Snowflake, Kubernetes, Docker, CI/CD, experiment tracking, GPU/accelerated computing, Triton inference, distributed systems, data warehousing
Preferred skills
Generative AI, ML Ops, RAG, reinforcement learning, embedding platforms, programmatic advertising, Private Marketplace (PMP) ecosystems
Technologies
Triton, Spark, Hadoop, Kafka, Snowflake, Kubernetes, Docker, Airflow, MLflow, Grafana, Looker
Responsibilities
Design and maintain scalable ML pipelines for ingestion, feature engineering, training, evaluation, and deployment; Build and optimize large-scale data workflows; Develop frameworks for experiment tracking and model observability; Provide reusable components, SDKs, and APIs for AI/ML enablement; Drive CI/CD and infrastructure-as-code practices; Partner cross-functionally to align ML infrastructure with business needs.
Seniority
Senior Staff, hands-on IC with strategic impact
