Senior Staff Machine Learning Engineer, Consumer

DoorDash, Inc

Quick summary

Work type
On-site
Location
San Francisco, CA · Sunnyvale, CA · Seattle, WA
Salary
$242,800–$357,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $300k
$141k most similar roles pay here $380k

This role pays more than 95% of similar roles. Most pay $174,990–$246,150 — the shaded band above. At the midpoint, this role pays about $300k versus about $211k 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 238 open roles on FindRole.

Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Senior Staff Machine Learning Engineer, Consumer

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As a Senior Staff Machine Learning Engineer on DoorDash’s Consumer Engineering Team, you will lead the personalization strategy for the entire consumer shopping journey, leveraging robust data and machine learning infrastructure to enhance user experiences across various business segments. Your daily responsibilities include developing new ML solutions to improve search relevance and efficiency, modernizing recommendation systems with advanced AI techniques, and collaborating closely with cross-functional teams to drive DoorDash’s transition towards agentic commerce. Ideal candidates possess deep expertise in deep learning and fine-tuning large language models, alongside proficiency in the full software development lifecycle using AI coding tools. This role requires a strong technical background, strategic vision, and the ability to mentor and grow engineering teams while anticipating future technological needs for the company.

Skills

Python TensorFlow PyTorch Kubernetes AWS CI/CD PostgreSQL Docker LLM systems JSON APIs RESTful services Scalability Performance optimization Deep learning Fine-tuning

What you'll do

  • Drive the engineering vision and strategy for personalizing the consumer shopping journey.
  • Implement new ML solutions to enhance relevance, seamlessness, and delight in consumer search experiences.
  • Modernize recommendation systems using AI technologies and advanced machine learning techniques.
  • Mentor and guide teams in setting architectural patterns and making strategic investments.
  • Collaborate with cross-functional teams to transform DoorDash’s commerce model.

What we're looking for

  • 10+ years of industry experience developing machine learning models with business impact.
  • Proficiency in using AI coding tools for the full software development lifecycle.
  • Deep expertise in deep learning and fine-tuning large language models (LLMs).
  • Proven ability to drive multi-quarter technical roadmaps as a technical lead.
  • Strong technical intuition and ability to influence cross-functional stakeholders.
  • Experience growing, building, and nurturing impactful business-focused engineering teams.

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