Applied Machine Learning Engineer - Causal Inference Recommendation

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 expand Merchant selection and 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 build recommendation system, and implementing new AI solutions to expand restaurants selection and drive their growth. You'll be conceptualizing, designing, and evaluating A/ML solution. You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to set the strategy and execute to grow our business.

You're excited about this opportunity because you will…

• Develop production machine learning solutions, which is a central intelligence to power multiple teams including Sales Operation, Product, and Marketing

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

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

• Find new ways to use diverse data sources, and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution to touch base with merchants at the right time and provide AI driven world class merchant experience.

You can find out more on our ML blog