Principal Machine Learning Engineer, Causal Decisioning
DoorDash USA · San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York
Don’t apply blind. See how your CV matches Engineer first — free, in 30 seconds.
You will leave NewLuxJob. We do not receive or handle applications.
- Company
- DoorDash USA
- Location
- San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York
- Salary
- $282,100 — $414,800
- Posted
- September 16, 2026
About this job
About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, dynamic marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. We are hiring a Principal Machine Learning Engineer to lead the Causal ML pod and establish the technical foundation for company-level causal decisioning. This is a senior technical leadership role for a practitioner who has built consequential causal systems in production and can turn ambiguous business questions into a coherent measurement and decision platform.…
This is a short summary.
Want to know if you're a fit? Check your CV against this role — free, in 30 seconds.
Most-requested skills in the United States
Based on 417 United States vacancies that list requirements, these are the skills employers ask for most often.
- Project Management36% of postings
- CAD20% of postings
- AutoCAD20% of postings
- Lean16% of postings
- MATLAB15% of postings
- Quality Assurance10% of postings
- Six Sigma10% of postings
- SolidWorks9% of postings
Similar jobs
See if your CV fits this job
Paste your CV for an instant match score against this role — and get a tailored cover letter in one click.
- Instant match score for this role
- Tailored cover letter in one click
- Free — no credit card