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Machine Learning Engineer, Marketplace Optimization

DoorDashSan Francisco, CA; Sunnyvale, CA
On-site Full-time $137.1K/yr - $246.8K/yr

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Experience Level

Experience

Qualifications

Ideal candidates will have a strong background in machine learning, data analytics, and software engineering. Proficiency in programming languages such as Python or Java, alongside experience with ML frameworks (e.g., TensorFlow, PyTorch) is essential. Familiarity with algorithms for optimization and statistical modeling is required, as well as experience in deploying machine learning models in production environments. Strong problem-solving skills, ability to work collaboratively in teams, and a passion for innovation in the tech industry are crucial.

About the job

Join DoorDash as a Machine Learning Engineer, where you'll be pivotal in designing, building, and optimizing large-scale machine learning systems within our Ads Delivery funnel. Your expertise will contribute to enhancing our Ads Marketplace, ensuring a balanced and efficient ecosystem for advertisers and consumers alike. Work with advanced AI and machine learning techniques to dynamically optimize bidding, auction design, budget pacing, forecasting, and ad experimentation. This role offers a unique opportunity to influence our innovative advertising products as we expand into new verticals such as Grocery and Retail.

About DoorDash

DoorDash is a leading logistics and food delivery service that connects customers with their favorite local businesses. Our commitment to innovation drives us to continually improve and expand our services. We believe in the power of technology and data to enhance user experiences and create efficient marketplaces. Join us in redefining delivery and exploring new horizons as we venture into diverse sectors like Grocery and Retail, offering unique advertising solutions along the way.

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