Machine Learning Intern

DoorDash, Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CANew York, NYSeattle, WA
Salary
$130,600–$192,000 / yr
Employment
Intern
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k
This role $161k
$111k most similar roles pay here $279k

This role pays less than 65% of similar roles. Most pay $126,800–$241,750 — the shaded band above. At the midpoint, this role pays about $161k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 80 open roles on FindRole.

Listed pay typically runs $163,200–$240,000 across 79 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Machine Learning Intern

Machine Learning Intern (PhD) - Summer 2027 is a role within the engineering team focused on developing a global infrastructure system for a three-sided marketplace. The intern will conduct research in areas such as Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics to solve real-world problems across discovery, ads, forecasting, fulfillment, and search experiences. Day-to-day responsibilities include collecting and synthesizing findings from data to build relevant models while writing clean, efficient code. The role requires expertise in at least one systems language like Java, C++, Python, Kotlin, or GoLang, or an ML framework such as TensorFlow, PyTorch, or MLFlow. Candidates should possess experience in research and analytical problem-solving within fields like NLP, Statistics, or Information Sciences to improve the product experience.

What you'll do

  • Apply cutting-edge ML research in areas like RecSys, Ranking, and Computer Vision to solve real-world problems.
  • Execute on research ideas that improve product experiences across discovery, ads, forecasting, fulfillment, and search.
  • Collect, analyze, and synthesize data findings to build relevant machine learning models.
  • Write clean, efficient, and sustainable code for production environments.
  • Conduct research applicable across various engineering teams within the DoorDash organization.
  • Solve complex analytical problems using advanced techniques in fields like Game Theory or Causal Inference.

What we're looking for

  • Candidates must be pursuing a PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
  • Candidates must be graduating between Fall 2027 and Summer 2028.
  • Mastery of at least one systems language (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) is required.
  • Experience in research and solving analytical problems is required.
  • Ability to write clean, efficient, and sustainable code is required.
  • Strong communication skills and the ability to work as a team player are required.
  • Experience with publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (preferred).
  • PhD degree.

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