DoorDash

DoorDash

Machine Learning Intern (Masters) - Summer 2027

US · Intern · Internship

Sponsorship not specified$131k-$192kDetected 24 days ago
PythonJavaGoC++KotlinMachine LearningTensorFlowPyTorchData AnalysisData ScienceNLPComputer VisionStatisticsForecastingLogisticsResearchMentoring

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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

  • As a Machine Learning Engineer intern at Doordash, you'll work on tackling new challenges in machine learning and artificial intelligence.
  • We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices.
  • You're excited about this opportunity because you will…

Responsibilities

  • Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.

Requirements

  • Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028

Skills

  • Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow)

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.
  • See below for paid time off details:
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • To learn more about our benefits, visit our careers page here.

Company info

  • DoorDash is building the world's most reliable on-demand logistics engine for delivery!
  • We're looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

This listing is sourced directly from DoorDash's careers page and normalized into a canonical job model.