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Software Engineer, Machine Learning Infrastructure - job 1 of 2

DoorDash is looking for a talented Software Engineer to help build machine learning systems that power its logistics engine for delivery. The role offers an opportunity to work with data scientists and product engineers to evolve the ML platform.

Skills

  • Strong knowledge of CS fundamentals
  • Experience in software engineering
  • Familiarity with machine learning systems
  • Experience in cloud computing environments

Responsibilities

  • Build a world-class ML platform
  • Develop high performance and flexible pipelines
  • Work on infrastructure designs for data handling
  • Improve ML training and inference infrastructure

Education

  • B.S., M.S., or PhD in Computer Science or equivalent

Benefits

  • 401(k) plan with employer match
  • Paid time off and parental leave
  • Wellness benefits
  • Medical, dental, and vision insurance
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$207800 / YEARLY (est.)
min
max
$130600K
$285000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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DoorDash is a technology company that connects customers with their favorite local and national businesses in the United States and Canada. The company is headquartered in San Francisco, California.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$130,600/yr - $285,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 2, 2025

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