Machine Learning Engineer - ETA & Routing

About the Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us develop and improve the ETA and Routing models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a fundamental area of investment for DoorDash, ETA/Routing has among the coolest problems to solve at scale and creates a major impact on the company and its businesses.

About the Role

As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and optimization ETA and Routing models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other data scientists, engineers, and product managers to develop and iterate on models to help us grow our business and provide better service quality for our customers.

You're excited about this opportunity because you will…

• Build Deep Learning models for next-generation ETA that provide the most accurate, scalable and robust time predictions and enhance the consumer experience.

• Build Machine Learning models in the routing space, which can be used as the single source of truth across internal teams to positively impact the top-line business metrics.

• Own the modeling life cycle end-to-end including feature creation, model development and testing, experimentation, monitoring and explainability, and model maintenance.

• Being exposed to new opportunities where ETA/Routing can be used as a lever that benefits new business, new markets, and new regions.

• You can find out more on our ML blog post