Back to results
Technology & IT

Senior Machine Learning Engineer, Drive (San Francisco)

On-site · San Francisco, California Senior USD 137k–299k / yr Posted 4 days ago International
Apply on company site ↗
Not ready to apply yet?
Free ATS check

Check your CV before you apply

See your score the way hiring software reads it. If it needs work, build a stronger resume in the same place.

About the role

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. DoorDash Drive powers deliveries placed through merchants' own channels—including their websites, mobile apps, and phone orders—using DoorDash's logistics network. The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release optimization, logis

Key responsibilities

  • Build next-generation machine learning models for delivery ETA, pickup ETA, merchant prep-time estimation
  • Develop deep learning models that leverage large-scale spatiotemporal, marketplace, and behavioral signals to improve prediction accuracy
  • Apply reinforcement learning and optimization techniques to improve logistics decision-making, assignment strategies, and marketplace efficiency
  • Build AI-native product experiences using large language models (LLMs) and vision-language models (VLMs)
  • Design and run rigorous online experiments, production monitoring, and model iteration to continuously improve performance
  • Partner closely with software engineers, product managers, data scientists

Requirements

  • 5+ years of industry experience building and shipping production machine learning systems with measurable business impact (Bachelor's, Master's
  • Strong experience developing production machine learning models using modern deep learning frameworks such as PyTorch
  • Experience building, deploying, monitoring, and maintaining production ML systems end-to-end
  • Strong software engineering skills in Python and experience with modern ML infrastructure and tooling
  • Deep expertise in at least one of the following areas:
  • Deep Learning

Location and schedule

  • Onsite in San Francisco, California
  • You are located or are planning to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA

Salary and benefits

US base salary $137,100 to $299,300 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.

Doordash
Listed via Direct
View companies

Source: Direct · THE BRIEFED never charges candidates.

The Weekly Brief

New roles, in your inbox.

One email a week — the best hand-picked roles, salary insights and career reads. No spam, unsubscribe any time.