The role is focused on building the agentic layer of DoorDash's machine learning infrastructure, enabling ML engineers to accelerate their workflows. The MDX team works across the full ML lifecycle, including feature engineering, training, and deployment. The successful candidate will design and implement systems that support ML development for DoorDash, Wolt, and Deliveroo. This position is ideal for an engineer with a strong backend foundation who is eager to apply AI agents to engineering workflows.

• B.S., M.S., or PhD in Computer Science or equivalent.
• 2+ years of industry experience in software engineering.
• Hands-on experience building ML infrastructure in production.
• Strong backend engineering fundamentals, especially in Python and distributed systems.
• Experience operating systems in production, including testing and observability.
• A good understanding of how ML engineers and data scientists work.
• Ability to take ambiguous problems from idea to production.
• Proficiency in using AI coding tools across the software development lifecycle.

• Build agentic systems that increase the velocity of ML development.
• Design and implement infrastructure for agents to propose and evaluate modeling experiments.
• Build agentic developer support for the ML lifecycle.
• Develop evaluation and observability for agent behavior.
• Work with production standards in mind, including reliability and monitoring.
• Partner closely with ML engineers, data scientists, and platform teams to enhance productivity.
• Grow quickly in a fast-moving area and shape how agents are used in ML systems.