Senior Staff Machine Learning Engineer

Responsibilities

• Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding
• Rigorously evaluate ML and LLM models using offline analysis and online experimentation
• Own the full model lifecycle from research to production, including data analysis, model development, and A/B testing
• Partner with product managers, data scientists, and designers to ensure AI-driven systems deliver user-facing improvements
• Assess emerging research and translate promising approaches into scalable, production-ready systems

Requirements

• 5+ years of experience building, deploying, and scaling ML and AI models for large-scale products
• Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor)
• BS, MS, or PhD in Computer Science, Engineering, or a related field
• Deep expertise in deep learning, LLMs, information retrieval, ranking, recommendation systems, or NLP
• Strong programming skills in Python, Java, or C++
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or XGBoost
• Extensive experience across the full ML lifecycle including feature engineering and monitoring

Preferred Qualifications

• Experience designing and deploying LLM-based systems, including prompt engineering and RAG architectures
• Experience with Generative RecSys
• Experience solving large-scale personalization problems including user modeling and retrieval
• Contributions to the ML community through open-source projects or publications

About the Company

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.