Machine Learning Intern - Summer 2026 - Remote
About the Role
Join DoorDash as a Machine Learning Intern for Summer 2026 and contribute to building the world’s most reliable on-demand logistics engine for delivery! This Machine Learning Intern remote position offers a unique opportunity to work with our fast-growing engineering team, where you will help develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
What You'll Do
- Engage in cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, and 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 to improve product experience at DoorDash.
- Collect, analyze, and synthesize findings from data, using these insights to build relevant ML models.
- Write clean, efficient, and sustainable code that adheres to best practices.
- Collaborate with team members, sharing knowledge and insights to enhance the overall project.
Requirements
- Currently pursuing a Master’s degree in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, or a related field, with graduation expected between Fall 2026 and Summer 2027.
- Mastery of at least one systems language (Java, C++, Python, Kotlin, GoLang) or one ML framework (TensorFlow, PyTorch, MLFlow).
- Experience in research and solving analytical problems.
- Strong communication skills and a team player mentality.
- A passion for applied machine learning and the DoorDash product.
- Ideally, have worked on publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
Nice to Have
- Experience with cloud platforms such as AWS or Google Cloud.
- Familiarity with data visualization tools.
- Knowledge of software development methodologies.
What We Offer
- Comprehensive benefits package including a 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Wellness benefits and commuter benefits match.
- Paid time off and paid sick leave.
- Medical, dental, and vision benefits.
- 11 paid holidays and disability insurance.
This Machine Learning Intern position at DoorDash offers a unique opportunity to work remotely while gaining hands-on experience in cutting-edge AI technologies. With a comprehensive benefits package and a focus on real-world applications, this role is ideal for aspiring machine learning professionals.
Who Will Succeed Here
Proficiency in Python and experience with machine learning libraries such as TensorFlow and PyTorch, enabling the candidate to develop and optimize models effectively.
Strong analytical mindset with experience in data analysis and natural language processing (NLP) to derive insights and improve the logistics engine's performance.
Self-motivated and comfortable working in a remote environment, demonstrating excellent time management and the ability to work independently while collaborating with a distributed team.
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