STAFF MACHINE LEARNING ENGINEER - MERCHANT TAX CATEGORIZATION SERVICE

DoorDash
Full-time
Sunnyvale, CA; San Francisco, CA; Seattle, WA; New York, NY
$137,100 - $299,300
Posted on 5 months ago

Job Description

DoorDash seeks a Staff Machine Learning Engineer to develop AI/ML solutions for accurate tax categorization of items for merchants, utilizing LLMs and leading the AI product strategy.

Responsibilities

  • Lead and develop ML-driven tax catalog solutions
  • Design ML products for large-scale categorization problems
  • Shape product roadmap leveraging AI/ML
  • Own the modeling life cycle end-to-end
  • Identify new opportunities for AI/ML in business

Requirements

  • 6+ years of experience in machine learning model development
  • Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models
  • M.S. or PhD in a quantitative field
  • Ability to communicate technical details
  • Strong machine learning background in Python
  • Familiarity with Kotlin/Scala

Benefits

  • No benefits