Job Description

DoorDash seeks a Machine Learning Engineer to build and deploy ML models for their Dasher Acquisition, Mobilization, and Pay systems. The role involves developing models for spend allocation, forecasting Dasher actions, and platformizing supply levers across new business verticals and geographies.

Responsibilities

• Use Causal ML and Optimization techniques for spend allocation
• Build ML models to forecast Dasher actions
• Have end-to-end ownership of model ideation, development, testing, deployment, and maintenance
• Platformize existing supply levers across new business verticals and geographies
• Measure business impact through rapid experimentation

Requirements

• 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing advanced machine learning models with business impact
• M.S., or PhD. in Computer Science, Statistics, Operations Research or other related quantitative fields
• Strong background in machine learning and OSS ML technologies such as Spark, PyTorch, Airflow with hands-on experience in production
• Demonstrated expertise with programming languages and machine learning libraries
• Deep understanding of complex systems such as Marketplaces
• Experience of shipping production-grade ML models and optimization systems

Benefits

• No benefits