DoorDash seeks a Senior Machine Learning Engineer to develop modern growth and personalization models for its retail and grocery business, focusing on improving the consumer search experience.
Responsibilities
Develop production machine learning solutions for personalized shopping experiences
Partner with engineering and product leaders to shape the product roadmap applying ML
Mentor junior team members and lead cross-functional pods
Requirements
5+ years of industry experience developing machine learning models with business impact
Expertise in applied ML for Causal Inference and Recommendation Systems
Machine learning background in Python; experience with PyTorch or TensorFlow preferred
Familiarity with Kotlin/Scala
Ability to communicate technical details to nontechnical stakeholders
M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields