What is the salary for ML Engineer — Logistics at DoorDash?

Listed range: $155k – $210k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Logistics role based?

San Francisco, CA, San Francisco (California). Work mode: Hybrid.

How do I apply to DoorDash?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0009. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is DoorDash hiring other AI roles?

DoorDash (Logistics ML) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

ML Engineer — Logistics

DoorDash· San Francisco, CA· Ref. EXP-2026-0009 4 (2,800 reviews)

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Salary: $155k – $210k / year
Type: Full-time
Location: San Francisco, CA · San Francisco (California) · Hybrid
Valid through: 11/25/2026

Additional details

Posted: Posted today
Applications: 17; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: California
Team: DoorDash — AI team
Company size: 8000+
Founded: 2013

Job description

DoorDash is hiring a ML Engineer — Logistics (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in San Francisco (California). DoorDash ML engineer jobs on ETA, batching, and courier assignment — optimization + online learning in San Francisco. Listed compensation: $155k – $210k / year. Stack: DoorDash, Logistics ML, Optimization, Python.

Machine Learning Engineer profiles are in high demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…

The team

DoorDash — AI team

Responsibilities

Ship production AI features with clear quality, latency, and safety bars
Partner with product, design, and infra on roadmap priorities
Document evals, monitoring, and responsible AI practices

Requirements

3+ years shipping ML, LLM, or data systems in production (or strong internship + portfolio)
Strong Python or TypeScript and clear written communication
Comfort with evals, observability, and cross-functional US teams

Tech stack

DoorDashLogistics MLOptimizationPython

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — ML Engineer — Logistics

What is the salary for ML Engineer — Logistics at DoorDash?: Listed range: $155k – $210k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Logistics role based?: San Francisco, CA, San Francisco (California). Work mode: Hybrid.
How do I apply to DoorDash?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0009. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is DoorDash hiring other AI roles?: DoorDash (Logistics ML) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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