Software Engineer, DoorDash

• B.S., M.S., or PhD. in Computer Science or equivalent
• Exceptionally strong knowledge of CS fundamental concepts and OOP languages
• 2+ years of industry experience in software engineering
• Prior experience building machine learning systems in production such as enabling data analytics at scale
• Prior experience in machine learning - you've developed and deployed your own models - even if these are simple proof of concepts
• Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems

Desirable

• At DoorDash, our Data Scientists have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Dasher Assignment, ETA Prediction, and Dasher Capacity Planning
• You will join a small team to build systems that empower efficient machine learning at scale
• This is a hybrid opportunity in San Francisco, Sunnyvale, Seattle, or New York
• Build a world-class ML platform where models are developed, trained, and deployed seamlessly
• Work closely with Data Scientists and Product Engineers to evolve the ML platform as per their use cases
• You will help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approaches
• You will work on infrastructure designs and solutions to store trillions of feature values and power hundreds of billions of predictions a day
• You will help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business
• Improve the reliability, scalability, and observability of our training and inference infrastructure