Senior Applied Machine Learning Engineer - Merchant New Products And Experience

About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants.

About the Role

We're looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to develop inference and optimization for Merchant Experience and new merchant's products, such as menu item tax categorization, inventory prediction, logistic service, catering. You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to lead the strategy and and the team to execute.

You're excited about this opportunity because you will…

• Build Deep Learning models for logistic ETA that provide the most accurate, scalable and robust time prediction.

• Utilize deep learning and NLP to predict item categorization, and computer vision to improve non-restaurant delivery quality.

• Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML.

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

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

You can find out more on our ML blog