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, explainability, 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 advanced 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) with hands-on production experience
- Expertise in programming languages (e.g., Python) and machine learning libraries (e.g., LightGBM, Spark MLLib, PyTorch)
- Deep understanding of complex systems such as Marketplaces, and domain knowledge in Deep Learning, Reinforcement Learning, Operations Research, and Forecasting
- Experience shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniques
DoorDash offers a comprehensive benefits package, including a 401(k) plan with employer match, paid time off, parental leave, wellness benefits, and several paid holidays. Full-time employees also receive medical, dental, and vision benefits, disability and life insurance, and mental health support.
Join DoorDash to work on cutting-edge machine learning problems and make a significant impact on the future of on-demand logistics!