Senior Software Engineer, Machine Learning - Delivery Excellence (CV) San Francisco, CA; Sunnyvale, CA; Seattle, WA About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile delivery! We're looking for an experienced senior machine learning engineer to help us develop cutting-edge Computer Vision models that guard DoorDash's delivery quality. About the Role We are seeking a highly motivated and experienced Applied Machine Learning expert with a specialization in Computer Vision and multi-modal systems to join our team. In this role, you will be responsible for the design, implementation, and validation of innovative ML solutions that identify potential delivery defects at an early stage—whether it's identifying visual anomalies in packages or addressing errors in delivery logistics. By integrating real-time visual data with complementary data sources, your work will enable proactive intervention, ensuring prompt recovery and enhanced delivery quality. Leveraging our robust data and ML infrastructure, you'll build production-level algorithms that not only extract accurate signals from visual feeds but also incorporate multi-modal inputs to address complex, real-world challenges. The ideal candidate is passionate about solving end-user problems, excels in collaborative, multidisciplinary teams, and is driven to transform the delivery experience by preventing defects before they impact the customer. You’re excited about this opportunity because you will… Develop production-level machine learning solutions that address key vision challenges for our dashers. This includes applying advanced techniques—such as entity recognition, attribute extraction, object detection, segmentation, metric learning, image classification, multi-modal fusion. Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem. Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the delivery experiences, delivering solutions that are not only effective but also scalable and user-centric. Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company. Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our delivery solutions. We’re excited about you because you have… 5+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments. Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation. Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems. You must be located near or are willing to relocate to one of our engineering hubs which includes: San Francisco, Sunnyvale and Seattle. M.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields is a plus. Familiarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement. About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. #J-18808-Ljbffr DoorDash
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