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Senior Applied Machine Learning Engineer - Merchant New Products and Experience

Develop AI/ML models to optimize logistic ETA for last-mile retail delivery.
San Francisco Bay AreaNew YorkWashington DC
Senior
$170,600 - 255,800 USD / year
1 month ago

✨ About The Role

- Develop AI/ML models to power DoorDash's growing Merchants, focusing on logistic ETA, item categorization, inventory prediction, and logistic services - Collaborate with cross-functional teams to lead the strategy and execution of AI/ML initiatives, shaping the product roadmap - Own the modeling life cycle end-to-end, including feature creation, model development and deployment, experimentation, monitoring, explainability, and model maintenance - Identify new opportunities where AI/ML can be leveraged to benefit new business, markets, and regions - Contribute to DoorDash's mission of empowering local economies by utilizing data-driven decision-making and innovation

⚡ Requirements

- Experienced machine learning engineer with a minimum of 5 years in the industry, specializing in developing ML models with significant business impact - Holds a Master's or PhD in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or related quantitative fields - Proficient in applied ML for deep learning, computer vision, and NLP, with additional experience in experimentation and LLMs being a plus - Strong communication skills to effectively convey technical details to non-technical stakeholders - Skilled in Python with experience in Spark, PyTorch, or TensorFlow, and familiarity with Kotlin/Scala
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Senior Applied Machine Learning Engineer - Merchant New Products and Experience
San Francisco Bay AreaNew YorkWashington DC
$170,600 - 255,800 USD / year
Engineering
About DoorDash
Restaurant delivery.