Engineering Manager for the Merchant AI/ML team at DoorDash, leading a team to build and deploy AI/ML solutions for the merchant lifecycle. The role involves defining strategy, partnering with product teams, and owning the end-to-end ML system lifecycle, with a focus on generative AI, multimodal learning, and agentic automation to improve merchant success.

Machine Learning Engineer focused on optimizing DoorDash's Ads Marketplace. This role involves designing, building, and deploying ML models and pipelines for critical functions like pacing, bidding, auction, and targeting. The engineer will collaborate with Data Science and Product teams, improve ML infrastructure, and ensure models are production-ready and scalable, directly impacting financial metrics and marketplace efficiency.

Machine Learning Engineer focused on Computer Vision for DoorDash's grocery and retail delivery business. The role involves developing, implementing, and validating ML solutions for consumer vision problems like entity recognition, object detection, and classification, aiming to improve product knowledge graph accuracy, inventory information, and Dasher efficiency. Requires production-level ML experience and collaboration with cross-functional teams.

Staff Software Engineer, Machine Learning - Personalization at DoorDash. Develops production ML solutions for personalized shopping experiences in retail and grocery delivery. Focuses on Causal Inference and Recommendation Systems, with potential familiarity with MAB algorithms and LLMs. Ships ML solutions to production and partners with product leaders.

Software Engineer, Machine Learning - Fraud at DoorDash. Develops and ships production ML solutions for fraud detection and mitigation at scale. Requires experience with deep learning frameworks and familiarity with multi-task learning, LLMs, and anomaly detection.