Machine Learning Engineer - ETA & Routing

DoorDash is seeking a talented Machine Learning Engineer to develop and improve ETA and Routing models for their three-sided marketplace of consumers, merchants, and dashers. This role offers the opportunity to work on fundamental problems at scale, creating a major impact on the company and its businesses.

Key Responsibilities:

• Build Deep Learning models for next-generation ETA to provide accurate, scalable, and robust time predictions
• Develop Machine Learning models in the routing space to positively impact top-line business metrics
• Own the full modeling lifecycle, including feature creation, model development, testing, experimentation, monitoring, and maintenance
• Explore new opportunities where ETA/Routing can benefit new business, markets, and regions

Requirements:

• 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree in developing machine learning models with business impact
• M.S. or PhD in Computer Science, Statistics, or related quantitative fields
• Strong background in Deep Learning and OSS ML technologies (Spark, PyTorch, Airflow)
• Expertise in programming languages (e.g., Python) and ML libraries (e.g., LightGBM, Spark MLLib, PyTorch)
• Deep understanding of complex systems like Marketplaces and domain knowledge in Deep Learning, Reinforcement Learning, Operations Research, and Forecasting
• Experience shipping production-grade ML models and optimization systems
• Located or willing to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA

DoorDash offers a comprehensive benefits package, including equity grants, 401(k) with employer match, paid time off, parental leave, and wellness benefits. This is an exciting opportunity to work on cutting-edge machine learning problems in a fast-paced, high-growth environment.