Senior Staff Machine Learning Engineer, Consumer

DoorDash, Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CASeattle, WA
Salary
$242,800–$357,000 / yr
Posted
148 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $232k
This role $300k
$164k $378k
below market most similar roles pay here above market

This role pays more than 93% of similar roles. Most pay $209,019–$254,750 — the blue band above. At the midpoint, this role pays about $300k versus about $232k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 97 open roles on FindRole.

Listed pay typically runs $163,800–$240,900 across 96 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Senior Staff Machine Learning Engineer, Consumer

Role Posting Log in to save

The Senior Staff Machine Learning Engineer, Consumer joins the Consumer Engineering Team to define and execute the personalization strategy for the entire consumer shopping journey. This role involves building and nurturing impactful product engineering teams while driving the engineering vision for an organization of over 150 people. You will modernize recommendation systems using AI to make search experiences more relevant across restaurant, grocery, and retail categories. Key responsibilities include setting architectural patterns, managing technical roadmaps, and mentoring staff. Required expertise includes deep learning, fine-tuning, and optimizing LLM systems through advanced prompting and JSON structuring. You must demonstrate proficiency with AI coding tools like Claude Code to design, test, and release software. This role solves the technical challenge of transforming local commerce into agentic commerce.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

Skills

Machine Learning Deep Learning LLM Fine-tuning AI JSON Claude Code Software Development Lifecycle Architectural Patterns

What you'll do

  • Set the personalization strategy for the entire consumer shopping journey.
  • Implement machine learning solutions to improve search relevance across all business lines.
  • Modernize the recommendation system by leveraging advanced AI technologies.
  • Drive the engineering vision, strategy, and execution for an organization of 150+ people.
  • Build and nurture business-focused product engineering teams while developing internal leaders.
  • Establish architectural patterns and make strategic investments in long-term technical needs.
  • Partner with cross-functional teams to transition the platform toward agentic commerce.
  • Optimize LLM systems through fine-tuning, advanced prompting, and structured output management.

What we're looking for

  • B.S. or M.S. in Computer Science or equivalent.
  • 10+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production.
  • Proficiency in using AI coding tools in the full software development lifecycle.
  • Proven ability to drive multi-quarter technical roadmaps as a technical lead with ownership of architectural decisions.
  • Deep expertise in deep learning and fine-tuning.
  • Hands-on experience optimizing LLM systems, including fine-tuning, advanced prompting, and structuring JSON/tool-calling outputs.
  • Strong technical intuition and the ability to influence and align cross-functional stakeholders.

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