About DoorDash USA
Connecting food lovers with local restaurants
Key Highlights
- Public company (NYSE: DASH) with a major IPO in 2020
- Over 450,000 restaurant partners across the U.S. and Canada
- $2.5 billion raised in funding from top investors
- Headquartered in San Francisco, CA with 1001+ employees
DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...
🎁 Benefits
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
🌟 Culture
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...
Machine Learning Engineer • Staff
Skills & Technologies
Overview
DoorDash is seeking a Staff Machine Learning Engineer to design and develop large-scale ML systems for their DashPass subscription program. You'll leverage AI and advanced ML techniques to enhance personalization efforts. This role requires expertise in Python and machine learning methodologies.
Job Description
Who you are
You have extensive experience in machine learning and data analysis, with a strong background in designing and developing large-scale ML systems. Your expertise in Python allows you to build robust models that drive decision-making processes. You understand causal inference modeling and can measure the incremental impact of various strategies on subscriber engagement. You are passionate about leveraging AI to enhance user experiences and reduce churn through personalized incentives. You thrive in collaborative environments and are eager to work with cross-functional teams to implement innovative solutions. You are committed to continuous learning and staying updated with the latest advancements in machine learning and AI technologies.
What you'll do
In this role, you will lead the design and development of machine learning systems that target personalization efforts across the DashPass subscriber journey. You will contribute to causal inference modeling to assess the impact of different promotional strategies on subscriber behavior. Your work will involve collaborating with teams focused on growth, member experience, and partnerships to create tailored offers that enhance subscriber engagement. You will analyze data to identify trends and insights that inform decision-making, ensuring that DashPass continues to deliver maximum value to its subscribers. You will also mentor junior engineers and share your knowledge of best practices in machine learning and data analysis. Your contributions will directly influence the growth and success of the DashPass program, helping to shape its future offerings.
What we offer
At DoorDash, we value innovation and collaboration. You will be part of a dynamic team that is dedicated to enhancing the DashPass experience for our subscribers. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have the chance to work on impactful projects that leverage cutting-edge technology and contribute to the overall success of the company. Join us in our mission to provide exceptional value to our customers and drive the future of food delivery.
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