Machine Learning Platform Engineer

DoorDash, the leading on-demand logistics platform, is seeking a Senior Machine Learning Platform Engineer to join their Machine Learning Platform (MLP) team. This role sits at the intersection of cutting-edge Generative AI technology and large-scale logistics operations, supporting critical real-time decision-making for millions of daily orders.

The position offers a unique opportunity to work on DoorDash's centralized ML platform that powers essential business functions including Ads, Groceries, Logistics, Fraud, and Search. As a Machine Learning Platform Engineer, you'll be instrumental in building and scaling the company's Generative AI infrastructure, developing easy-to-use platforms for rapid deployment of GenAI solutions, and creating robust ML pipelines that adapt to emerging technologies.

The role requires a strong technical background with at least 4 years of software engineering experience, combining expertise in machine learning systems, cloud infrastructure, and distributed systems. You'll work in a collaborative environment, partnering with Data Scientists, ML Engineers, and Product Engineers to evolve the ML platform according to diverse use cases.

This hybrid position, based in San Francisco with a 3-day in-office requirement, offers a competitive compensation package ranging from $167,800 to $246,800 USD, plus equity opportunities. DoorDash provides comprehensive benefits including healthcare, 401(k) with employer match, paid parental leave, and wellness programs.

The ideal candidate will have a computer science degree (B.S., M.S., or PhD) and demonstrate proficiency in Python and ML tools. Experience with large language models, cloud environments, and ML infrastructure development is highly valued. Join DoorDash to shape the future of logistics through advanced machine learning and artificial intelligence.