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 • Senior
Skills & Technologies
Overview
DoorDash is hiring a Senior Machine Learning Engineer to develop production machine learning solutions for their retail and grocery business. You'll work with Python and SQL to enhance consumer search experiences. This role requires expertise in applied machine learning and collaboration with cross-functional teams.
Job Description
Who you are
You have 5+ years of experience in applied machine learning, demonstrating a strong command of production-level ML solutions. You are skilled in conceptualizing, designing, implementing, and validating algorithmic improvements that enhance user experiences. Your background includes solving end-user problems and collaborating effectively with multi-disciplinary teams. You are excited about mentoring junior team members and leading cross-functional pods to create collective impact. You thrive in a hybrid work environment, balancing in-office collaboration with remote flexibility.
Desirable
Experience with growth and personalization models in a retail context is a plus. Familiarity with data-driven decision-making processes and a passion for improving consumer experiences will set you apart. You are comfortable working with large datasets and have a keen interest in the latest advancements in machine learning technologies.
What you'll do
In this role, you will develop production machine learning solutions that create a world-class personalized shopping experience for DoorDash's diverse retail space. You will partner with engineering and product leaders to shape the product roadmap, applying machine learning techniques to enhance user engagement and satisfaction. Your responsibilities will include conceptualizing and implementing new ML solutions that make the consumer search experience more relevant and seamless across various retail categories. You will also mentor junior engineers, fostering their growth and development within the team. Collaboration with cross-functional teams will be essential as you work to create impactful solutions that drive business growth.
What we offer
DoorDash provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge machine learning projects that directly impact the consumer experience. The company values diversity and inclusion, and we encourage you to apply even if your experience doesn't match every requirement. We offer competitive compensation and benefits, along with a culture that supports professional development and career growth.
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