Staff Applied Machine Learning Engineer - Remote

Overview

Join DoorDash as a Staff Applied Machine Learning Engineer to develop AI/ML solutions for tax categorization in the logistics sector.

In Short

• Lead and develop ML-driven tax catalog solutions using Generative AI.
• Design ML products for large scale categorization problems.
• Collaborate with engineering and product leaders on AI/ML product roadmap.
• Manage the modeling life cycle from feature creation to model maintenance.
• Explore new AI/ML opportunities for business growth.

Requirements

• 6+ years of experience in machine learning model development.
• Expertise in applied ML for deep learning, NLP, and LLM.
• M.S. or PhD in quantitative fields.
• Ability to communicate technical details to nontechnical stakeholders.
• Strong background in Python; experience with Spark, PyTorch, or TensorFlow preferred.
• Familiarity with Kotlin/Scala.
• Growth-minded and collaborative mindset.

Benefits

• Comprehensive benefits package including 401(k) with employer match.
• Paid time off and parental leave.
• Medical, dental, and vision benefits.
• Wellness benefits and mental health programs.
• Equity grants opportunities.