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Machine Learning Intern (Masters) - Summer 2026

DoorDash

Software and Technology Jobs

Machine Learning Intern (Masters) - Summer 2026

full-timePosted: Dec 10, 2025

Job Description

Machine Learning Intern (Masters) - Summer 2026 at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

  • Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash.
  • Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash.
  • Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.
  • Write clean, efficient, and sustainable code

Required Qualifications

  • Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2026 & Summer 2027
  • Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Have experience in research and in solving analytical problems
  • Are a strong communicator and team player.
  • Have a passion for applied ML and the Doordash product
  • Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.

Key Skills

  • machine learning
  • artificial intelligence
  • NLP
  • RecSys
  • Ranking
  • Computer Vision
  • Causal Inference
  • Ad Tech
  • Graph analysis
  • research

Preferred Qualifications

  • Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

DoorDash Benefits

  • comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
  • medical, dental, and vision benefits
  • 11 paid holidays
  • disability and basic life insurance
  • family-forming assistance
  • mental health program

Salary Range

$1,30,600 - $1,92,000 USD annually

Job Summary

About the Team

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.

About the Role

As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal...

Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers

Locations

  • San Francisco, United States

Salary

130,600 - 192,000 USD / yearly

Skills Required

  • machine learningintermediate
  • artificial intelligenceintermediate
  • NLPintermediate
  • RecSysintermediate
  • Rankingintermediate
  • Computer Visionintermediate
  • Causal Inferenceintermediate
  • Ad Techintermediate
  • Graph analysisintermediate
  • researchintermediate
  • analytical problem-solvingintermediate
  • communicationintermediate
  • teamworkintermediate
  • systems languages (Java, C++, Python, Kotlin, GoLang)intermediate
  • ML frameworks (Tensorflow, Pytorch, MLFlow)intermediate
  • coding (clean, efficient, sustainable)intermediate

Required Qualifications

  • Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2026 & Summer 2027 (experience)
  • Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
  • Have experience in research and in solving analytical problems (experience)
  • Are a strong communicator and team player. (experience)
  • Have a passion for applied ML and the Doordash product (experience)
  • Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities. (experience)

Preferred Qualifications

  • Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (experience)

Responsibilities

  • Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash.
  • Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash.
  • Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.
  • Write clean, efficient, and sustainable code

Benefits

  • general: comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching
  • general: 16 weeks of paid parental leave
  • general: wellness benefits
  • general: commuter benefits match
  • general: paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
  • general: medical, dental, and vision benefits
  • general: 11 paid holidays
  • general: disability and basic life insurance
  • general: family-forming assistance
  • general: mental health program
  • general: premium healthcare
  • general: wellness expense reimbursement

Travel Requirements

0%

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DoorDash logo

Machine Learning Intern (Masters) - Summer 2026

DoorDash

Software and Technology Jobs

Machine Learning Intern (Masters) - Summer 2026

full-timePosted: Dec 10, 2025

Job Description

Machine Learning Intern (Masters) - Summer 2026 at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

  • Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash.
  • Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash.
  • Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.
  • Write clean, efficient, and sustainable code

Required Qualifications

  • Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2026 & Summer 2027
  • Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Have experience in research and in solving analytical problems
  • Are a strong communicator and team player.
  • Have a passion for applied ML and the Doordash product
  • Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.

Key Skills

  • machine learning
  • artificial intelligence
  • NLP
  • RecSys
  • Ranking
  • Computer Vision
  • Causal Inference
  • Ad Tech
  • Graph analysis
  • research

Preferred Qualifications

  • Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

DoorDash Benefits

  • comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
  • medical, dental, and vision benefits
  • 11 paid holidays
  • disability and basic life insurance
  • family-forming assistance
  • mental health program

Salary Range

$1,30,600 - $1,92,000 USD annually

Job Summary

About the Team

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.

About the Role

As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal...

Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers

Locations

  • San Francisco, United States

Salary

130,600 - 192,000 USD / yearly

Skills Required

  • machine learningintermediate
  • artificial intelligenceintermediate
  • NLPintermediate
  • RecSysintermediate
  • Rankingintermediate
  • Computer Visionintermediate
  • Causal Inferenceintermediate
  • Ad Techintermediate
  • Graph analysisintermediate
  • researchintermediate
  • analytical problem-solvingintermediate
  • communicationintermediate
  • teamworkintermediate
  • systems languages (Java, C++, Python, Kotlin, GoLang)intermediate
  • ML frameworks (Tensorflow, Pytorch, MLFlow)intermediate
  • coding (clean, efficient, sustainable)intermediate

Required Qualifications

  • Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2026 & Summer 2027 (experience)
  • Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
  • Have experience in research and in solving analytical problems (experience)
  • Are a strong communicator and team player. (experience)
  • Have a passion for applied ML and the Doordash product (experience)
  • Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities. (experience)

Preferred Qualifications

  • Ideally have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (experience)

Responsibilities

  • Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash.
  • Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash.
  • Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models.
  • Write clean, efficient, and sustainable code

Benefits

  • general: comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching
  • general: 16 weeks of paid parental leave
  • general: wellness benefits
  • general: commuter benefits match
  • general: paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
  • general: medical, dental, and vision benefits
  • general: 11 paid holidays
  • general: disability and basic life insurance
  • general: family-forming assistance
  • general: mental health program
  • general: premium healthcare
  • general: wellness expense reimbursement

Travel Requirements

0%

Target Your Resume for "Machine Learning Intern (Masters) - Summer 2026" , DoorDash

Get personalized recommendations to optimize your resume specifically for Machine Learning Intern (Masters) - Summer 2026. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Machine Learning Intern (Masters) - Summer 2026" , DoorDash

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

348 University Recruiting EngineeringDoorDash JobsFood DeliveryLogisticsTech JobsSoftware EngineerProduct ManagerData AnalystRemote JobsSan Francisco TechGig EconomyTechnologyLogisticsFood Delivery348 University Recruiting Engineering

Answer 10 quick questions to check your fit for Machine Learning Intern (Masters) - Summer 2026 @ DoorDash.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.