Machine Learning Engineer, Dasher Supply

$119,100 - $175,100/Yr

Doordash - San Francisco, CA

Full-time - Entry Level

San Francisco, CA

Couriers and Messengers

About the position

The Machine Learning Engineer will play a crucial role in building and optimizing DoorDash's Dasher Acquisition, Mobilization, and Pay systems. This position focuses on leveraging machine learning and optimization techniques to enhance the efficiency and profitability of DoorDash's three-sided marketplace, ensuring a reliable experience for Dashers, Consumers, and Merchants.

Responsibilities

• Use Causal ML and Optimization techniques to automate spend allocation across Dasher supply levers.
• Build ML models to better forecast Dasher actions in high dimensional contexts.
• 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 and make complex tradeoffs.

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, Operations Research or 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 e.g. LightGBM, Spark MLLib, PyTorch.
• Deep understanding of complex systems such as Marketplaces, and domain knowledge in Machine Learning, ML Ops, Causal Inference, and Operations Research.
• Experience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniques.

Nice-to-haves

• Experience in a fast-paced startup environment.
• Familiarity with market dynamics and consumer behavior.

Benefits

• 401(k) plan with employer match
• Paid time off
• Paid parental leave
• Wellness benefits
• Paid holidays
• Medical, dental, and vision benefits
• Disability and basic life insurance
• Family-forming assistance
• Commuter benefit match
• Mental health program