DoorDash is seeking a Senior Machine Learning Engineer to join their Delivery Excellence team, focusing on Computer Vision applications. This role combines cutting-edge ML technology with practical business impact, working on solutions that enhance delivery quality through visual analysis and multi-modal systems. The position offers an opportunity to work with a leading logistics platform, developing innovative solutions that directly impact the customer experience.
The role involves building sophisticated computer vision models that can identify delivery defects early, working with real-time visual data and complementary data sources. You'll be part of a team that's transforming how deliveries are monitored and quality is maintained, using advanced ML techniques including object detection, segmentation, and multi-modal fusion.
As a senior engineer, you'll collaborate with cross-functional teams to shape the product roadmap and drive technical innovation. The position offers significant growth opportunities, both technically and professionally, within a rapidly expanding company. You'll have access to robust data and ML infrastructure, allowing you to build and deploy production-level algorithms that solve real-world challenges.
DoorDash offers competitive compensation with base salary ranges from $137,100 to $299,300 USD (depending on level and location), plus equity opportunities. The company provides comprehensive benefits including medical, dental, vision coverage, 401k matching, generous parental leave, and wellness benefits. This role requires working from one of DoorDash's engineering hubs in San Francisco, Sunnyvale, or Seattle.
The ideal candidate will bring 5+ years of industry experience in machine learning, strong computer vision expertise, and a track record of shipping production ML solutions. If you're passionate about solving complex technical challenges while making a direct impact on millions of users' experiences, this role offers an exciting opportunity to shape the future of last-mile delivery technology.