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Experience Level
Senior
Qualifications
Key ResponsibilitiesDevelop production-grade machine learning solutions that foster a world-class personalized shopping experience across an extensive retail landscape. Collaborate with engineering and product leaders to shape the product roadmap through the application of machine learning. Mentor junior team members and lead cross-functional teams to create significant collective impact. To learn more, visit our ML blog here.
About the job
Join us in creating the most dependable on-demand logistics engine for last-mile retail delivery! We are on the lookout for a seasoned machine learning engineer to aid in the development of cutting-edge growth and personalization models that will elevate DoorDash's expanding retail and grocery services.
About the Role
We are seeking a dedicated Applied Machine Learning expert to become part of our innovative team. As a Staff Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic enhancements that enrich the growth and personalization experiences central to our rapidly evolving grocery and retail delivery business. Leveraging our advanced data and machine learning infrastructure, you will implement novel ML solutions to enhance the consumer search experience, making it more relevant, seamless, and enjoyable across grocery, convenience, and various retail sectors. A strong command of production-level machine learning and proven experience in addressing end-user challenges while collaborating effectively with multidisciplinary teams is essential.
This position will report to the engineering manager on our Personalization team and is expected to be hybrid, combining both in-office and remote work (#LI-Hybrid).
About DoorDash Inc.
At DoorDash, we are revolutionizing the last-mile logistics space, ensuring that customers receive their orders swiftly and reliably. Our commitment to innovation and excellence drives our mission to enhance the way goods are delivered, making us a leader in the on-demand retail market.
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Full-time|$200K/yr - $240K/yr|On-site|United States
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Join Pinterest:At Pinterest, we empower millions globally to discover creative ideas, envision new possibilities, and curate lasting memories. Our mission is to inspire everyone to create a life they love, driven by the talented individuals behind our innovative platform.Embark on a career where you can fuel innovation for millions, transform your passions into growth opportunities, value diverse experiences, and enjoy the flexibility to thrive. Building a career you love? It’s absolutely achievable!At Pinterest, AI is not just an enhancement; it’s a critical partner enhancing creativity and expanding our reach. We seek candidates eager to embrace this journey. Throughout our interview process, we prioritize your ability to articulate your thought processes, showcasing not only your knowledge but also your collaborative skills with AI. Discover more about our AI interview philosophy and its role in our recruitment process here.The Team:As a Technical Program Manager at Pinterest, you will take ownership with a proactive approach and technical acumen. The Platform Team oversees program governance in Infrastructure, Infra Finance, Data Engineering and Security, Compliance, and cloud budget management.Your Responsibilities:As a Staff Technical Program Manager with a focus on cross-engineering projects, you will lead strategic initiatives vital to enhancing Pinterest’s ML/AI Platform and foundational infrastructure.Lead Strategic ML/AI Platform Programs: Champion and execute high-impact, cross-engineering initiatives essential for advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform, ensuring outcomes from initial concept through measurable execution.AI-First Execution Mindset: Employ GenAI as the primary model for program execution, producing AI-assisted drafts of core program documents and modernizing high-effort workflows.
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Join us in creating the most dependable on-demand logistics engine for last-mile retail delivery! We are on the lookout for a seasoned machine learning engineer to aid in the development of cutting-edge growth and personalization models that will elevate DoorDash's expanding retail and grocery services.About the RoleWe are seeking a dedicated Applied Machine Learning expert to become part of our innovative team. As a Staff Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic enhancements that enrich the growth and personalization experiences central to our rapidly evolving grocery and retail delivery business. Leveraging our advanced data and machine learning infrastructure, you will implement novel ML solutions to enhance the consumer search experience, making it more relevant, seamless, and enjoyable across grocery, convenience, and various retail sectors. A strong command of production-level machine learning and proven experience in addressing end-user challenges while collaborating effectively with multidisciplinary teams is essential.This position will report to the engineering manager on our Personalization team and is expected to be hybrid, combining both in-office and remote work (#LI-Hybrid).
Mar 11, 2026
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