Staff Machine Learning Engineer, Personalization

DoorDash USA · San Francisco, CA; Sunnyvale, CA · All 428 DoorDash USA jobs

Pay shown$203,500 to $299,300 a yearHybrid

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Advertised pay
$203,500 to $299,300 a year
Checker · last seen live 05 Nov 2026
Pay readStill open
Advertised pay
$203,500 to $299,300 a year
Work pattern
Hybrid
Level
Lead
Posted
13 Oct 2026
Age
Posted 24 days ago (since 13 Oct)
Source
Employer's own page, Greenhouse

Typical pay for this role in San Francisco

The median advertised range for a machine learning engineer in San Francisco is $195,000 to $285,982, from 97 adverts that state a yearly pay. This job, at $203,500 to $299,300, sits inside that range.

Median of the advertised lower and upper figures, not a promise of what is paid.

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Required skills

  • Machine Learning

Nice to have

  • Supply Chain
  • Statistics
  • Deep Learning
  • LLMs
  • Python
  • Pytorch
  • Tensorflow
  • Audit
  • Mental Health

About the job

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team.

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Source: DoorDash USA's careers site

Adverts belong to the employers' own sites.