Senior Software Engineer, Machine Learning Infrastructure - Generative AI at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

• Use your backend, data, and ML infrastructure expertise to help build a high-quality GenAI platform.
• Build scalable, high-performance data and ML pipelines—from retrieval (e.g., RAG) to batch inference—that adapt quickly to new technologies.
• Develop an easy-to-use platform that supports fast iteration and deployment of products powered by Generative AI.
• Improve the reliability, scalability, and monitoring of our GenAI infrastructure, including the LLM gateway, fine-tuning systems, and model serving.
• Collaborate with ML Engineers and Product Engineers to evolve the ML platform as per their use cases.
• Shape the direction of DoorDash’s centralized ML platform that supports all business functions.

Required Qualifications

• B.S., M.S., or PhD. in Computer Science or equivalent
• Strong fundamentals in computer science and Python
• 4+ years of industry experience in software engineering
• Experience building and deploying machine learning systems in production
• Hands-on ML experience, including developing and testing your own models (even simple ones)
• Experience building infrastructure in cloud environments—especially backend services and data pipelines at scale

Key Skills

• Python
• Computer science fundamentals
• Software engineering
• Machine learning systems development and deployment
• Backend services
• Data pipelines
• Cloud infrastructure

Preferred Qualifications

• Experience fine-tuning and serving open-weights LLMs in production
• Experience building and deploying AI agents in production
• Experience building and deploying MCP servers in production
• Experience in cloud environments like AWS or GCP

DoorDash Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance

Salary Range

$1,30,600 - $2,85,000 USD annually

Job Summary

About the Team

DoorDash is building the world’s most reliable on-demand logistics engine. Behind the scenes, our Machine Learning Platform (MLP) powers critical real-time decision-making for millions of orders each day, supporting business-critical use cases like Groceries, Logistics, Fraud, Search and Personalization.

About the Role

At DoorDash, our Data Scientists and ML Engineers have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Catalog building, Fraud intelligence, Chatbot intelligence. You will join a small team to build systems that empower efficient machine learning at scale, especially in the Generative AI area. This is a remote opportunity, with Pacific Time wor...

Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers