About the Team

DoorDash is building the world’s most reliable on-demand logistics engine. Behind the scenes, our Machine Learning Platform (MLP) powers critical real-time decision-making for millions of orders each day, supporting business-critical use cases like Ads, Groceries, Logistics, Fraud, and Search.

About the Role

At DoorDash, the Frontend Engineer on the ML Infrastructure team builds intuitive, high-impact tools that accelerate machine learning across the company. You'll create user interfaces that support core ML workflows—like model training, experiment tracking, and Generative AI development—empowering teams working on Search, Recommendations, Fraud, Chatbots, and more. ML experience is not required—this is a perfect opportunity to learn AI/ML and Generative AI by working alongside top experts in the field. You must be located in San Francisco, Sunnyvale, or Seattle for this hybrid position. 

You’re excited about this opportunity because you will…

• Work at the intersection of engineering and AI by building tools that power machine learning across DoorDash.
• Collaborate with top ML engineers and researchers, gaining hands-on exposure to cutting-edge AI workflows—no prior ML experience required. If you are keen to learn ML, the team is ready to help you!
• Own high-impact frontend systems that directly influence the speed, scale, and reliability of model development and deployment.
• Solve complex UI/UX challenges in technical domains like model experimentation, data visualization, and ML observability.
• Join a small, high-leverage team where your contributions shape the future of DoorDash’s ML platform.

We’re excited about you because…

• 5+ years of experience building and maintaining production-grade frontend applications
• Proficiency in modern JavaScript/TypeScript and frontend frameworks, especially React
• Strong understanding of UI/UX principles and ability to build intuitive user interfaces
• Experience integrating with REST/gRPC APIs and a solid grasp of fullstack fundamentals, including backend interaction patterns and data flow
• Comfortable collaborating with backend, ML, and infrastructure teams to define and consume data endpoints in Python backend services.
• Familiarity with GenAI coding tools like Cursor

Nice To Haves

• Familiarity with ML workflows, experiment tracking, or model management tools
• Background in building developer tools or internal platforms at scale
• Experience in cloud environments like AWS or GCP

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a 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). 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.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:

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