Senior Staff Machine Learning Engineer, Ads

What you'll do

• Design and build next-generation AI-first ranking systems using deep learning and large language models.
• Lead the technical direction for ads marketplace ranking, relevance, and personalization systems.
• Own the full model lifecycle from research and data analysis to production deployment and monitoring.
• Evaluate ML models using offline analysis and online A/B testing to measure quality and impact.
• Translate cutting-edge research into scalable production systems under strict latency and reliability constraints.
• Implement sequence modeling and multi-objective optimization to balance advertiser value and consumer experience.
• Develop AI-driven solutions for query understanding, user representation learning, and contextual relevance.

What we're looking for

• 5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products.
• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Deep expertise in deep learning, LLMs, information retrieval, ranking, recommendation systems, NLP, or content understanding.
• Strong programming skills in Python, Java, or C++ with experience in PyTorch, TensorFlow, or XGBoost.
• Extensive experience across the full ML lifecycle including data analysis, feature engineering, model development, and A/B testing.
• Proficiency in using AI coding tools like Claude Code, Codex, or Cursor throughout the software development lifecycle.
• Experience designing and deploying LLM-based systems, including prompt engineering and RAG architectures (preferred).
• Demonstrated contributions to the ML community through open-source projects, publications, or applied research (preferred).