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DoorDashPosted 2 weeks ago

Machine Learning Engineer, Drive

$137,100–$201,600 year

On-siteSan Francisco, California, United States

Full TimeEnterpriseTechnology and Logistics

Job Summary

Build next-generation machine learning models for delivery ETA, pickup ETA, merchant prep-time estimation, and order release prediction. Develop deep learning models leveraging large-scale spatiotemporal and behavioral signals to improve accuracy. Apply reinforcement learning and optimization techniques to enhance logistics decision-making and marketplace efficiency. Build AI-native product experiences using large language models and vision-language models to transform pickup photos and receipts into structured quality signals. Design and run rigorous online experiments, production monitoring, and model iteration to continuously improve performance. Partner closely with software engineers, product managers, and platform teams to deploy new machine learning capabilities at scale.

Required Qualifications

  • 5+ years of industry experience building and shipping production machine learning systems with measurable business impact
  • Bachelor's, Master's, or PhD
  • Strong experience developing production machine learning models using modern deep learning frameworks such as PyTorch
  • Experience with distributed data processing technologies such as Spark and Airflow
  • Experience building, deploying, monitoring, and maintaining production ML systems end-to-end
  • Strong software engineering skills in Python
  • Deep expertise in at least one of the following areas: Deep Learning, Reinforcement Learning, Optimization / Operations Research, Large Language Models (LLMs) or Vision-Language Models (VLMs)
  • Experience applying machine learning to estimation, ranking, prediction, optimization, or decision-making problems at production scale
  • Proficiency using AI-assisted development tools (e.g. Claude Code, Codex, Cursor) throughout the software development lifecycle
  • You are located or are planning to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA

Desired Qualifications

  • Hands-on experience with LLMs or VLMs
  • Experience in logistics, marketplaces, or delivery platforms

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