DoorDash

DoorDash

Staff Software Engineer, Machine Learning

US · Staff+

Sponsorship not specified$204k-$299kDetected 6 days ago
AlgorithmsSnowflakeMachine LearningPyTorchscikit-learnSparkData AnalysisStatisticsA/B TestingLogistics

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 73 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 53%

Of 34 labor certifications old enough to have been used, 16 expired without the employer filing the next step. Median time from filing to decision: 481 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

125 transfer filings in the last year, covering 125 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are continuing to grow rapidly and expanding our Engineering offices globally!
  • As a Software Engineer, Machine Learning, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business.
  • This role is hybrid with some in-office time expected and will report to an Engineering Manager.

Responsibilities

  • Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals.
  • Develop new data solutions (eg. embeddings and consumer profiles) to target the relevant audience.
  • Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentation.

Requirements

  • We're excited about you because you have...
  • Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software

Compensation

  • The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
  • Base salary is localized according to an employee's work location.
  • In addition to base salary, the compensation for this role includes opportunities for equity grants.
  • flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles:

Benefits

  • In addition to base salary, the compensation for this role includes opportunities for equity grants.
  • DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
  • We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers.
  • You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible.
  • Develop advanced machine learning models to improve ads efficiency and quality.
  • To learn more about our benefits, visit our careers page here.
  • See below for paid time off details:

Company info

  • DoorDash is building the world's most reliable on-demand, logistics engine for delivery.
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This listing is sourced directly from DoorDash's careers page and normalized into a canonical job model.