Unknown Company

Applied ML Engineer: Causal Inference & Personalization

sunnyvale, ca • Posted 1 months ago
Onsite Full Time Electrical & Energy Engineering

DoorDash is seeking an experienced Applied Machine Learning Engineer to build robust ML solutions for last-mile logistics. In this role, you'll utilize advanced AI/ML to enhance restaurant selection and revenue growth. You'll partner with multiple teams, owning the entire modeling lifecycle, from feature creation to monitoring. Ideal candidates have 1+ years of hands-on ML experience post-PhD, expertise in recommendation systems, and proficiency in Python, Spark, or TensorFlow.

The base salary for this position ranges from $140,100 to $210,100 USD based on applicable skills and experience. DoorDash is committed to diversity and inclusion, encouraging applicants from all backgrounds.

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Applied ML Engineer: Causal Inference & Personalization in sunnyvale at Unknown Company

This position is listed as full time and onsite.

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