DoorDash USA
Software Engineer, Frontend - Machine Learning Platform
DoorDash USA, Sunnyvale, California, United States, 94087
Job Title
Software Engineer, Frontend - Machine Learning Platform Locations: San Francisco, CA; Seattle, WA; Sunnyvale, CA 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 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 Legal and Compliance
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 offers a comprehensive benefits package to all regular employees, including a 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws, medical/dental/vision benefits, and other programs. To learn more about our benefits, visit our careers page. See below for paid time off details: For salaried roles:
flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles:
vacation accrued at about 1 hour for every 25.97 hours worked, and paid sick time accrued at 1 hour for every 30 hours worked. The national base pay range for this position within the United States, including Illinois and Colorado:
$159,800 - $235,000 USD About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We’re committed to supporting employees’ happiness, healthiness, and well-being with comprehensive benefits. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams from all backgrounds, experiences, and perspectives, and we believe true innovation happens when everyone has room at the table and the tools to excel. We do not discriminate on protected characteristics and encourage diverse candidates to apply. Pursuant to applicable fair chance and local hiring regulations, we will consider qualified applicants in a manner consistent with the regulation. If you need accommodations, please inform your recruiting contact. Apply for this job
We will provide details about the application process upon inquiry. This page originally includes an application form with fields (name, email, resume, etc.) which is not reproduced here to maintain clarity and avoid unnecessary boilerplate. USA - Self-Identification and Privacy
As described in our Applicant Privacy Notice, responses to self-identification questions are voluntary and will not influence the hiring process. We support equal employment opportunity and do not discriminate based on protected statuses. This page also references the DoeDash Applicant Privacy Notice and related considerations.
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Software Engineer, Frontend - Machine Learning Platform Locations: San Francisco, CA; Seattle, WA; Sunnyvale, CA 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 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 Legal and Compliance
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 offers a comprehensive benefits package to all regular employees, including a 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws, medical/dental/vision benefits, and other programs. To learn more about our benefits, visit our careers page. See below for paid time off details: For salaried roles:
flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles:
vacation accrued at about 1 hour for every 25.97 hours worked, and paid sick time accrued at 1 hour for every 30 hours worked. The national base pay range for this position within the United States, including Illinois and Colorado:
$159,800 - $235,000 USD About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We’re committed to supporting employees’ happiness, healthiness, and well-being with comprehensive benefits. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams from all backgrounds, experiences, and perspectives, and we believe true innovation happens when everyone has room at the table and the tools to excel. We do not discriminate on protected characteristics and encourage diverse candidates to apply. Pursuant to applicable fair chance and local hiring regulations, we will consider qualified applicants in a manner consistent with the regulation. If you need accommodations, please inform your recruiting contact. Apply for this job
We will provide details about the application process upon inquiry. This page originally includes an application form with fields (name, email, resume, etc.) which is not reproduced here to maintain clarity and avoid unnecessary boilerplate. USA - Self-Identification and Privacy
As described in our Applicant Privacy Notice, responses to self-identification questions are voluntary and will not influence the hiring process. We support equal employment opportunity and do not discriminate based on protected statuses. This page also references the DoeDash Applicant Privacy Notice and related considerations.
#J-18808-Ljbffr