Connecting food lovers with local restaurants
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,...
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...
DoorDash USA • Tempe, AZ; Phoenix, AZ
DoorDash is hiring a Model Calibration Specialist to enhance the quality assurance processes within their Customer Experience Insights team. You'll work on calibrating machine learning models and ensuring alignment with human QA decisions. This role requires expertise in support systems and workflows.
You have a strong background in quality assurance and a keen interest in machine learning systems — your experience allows you to bridge the gap between human QA reviewers and automated processes effectively. You are detail-oriented and analytical, with the ability to investigate conflicts between model outputs and human decisions, especially in complex scenarios. You thrive in collaborative environments and are excited about optimizing workflows to enhance customer experiences. You are adaptable and willing to learn, developing deep expertise in DoorDash's support systems to drive better model calibration outcomes.
Experience with machine learning concepts and data analysis is a plus — familiarity with model calibration processes will help you excel in this role. You may also have a background in customer support or quality assurance, which will provide valuable insights into the challenges faced by support agents. A proactive approach to identifying opportunities for improvement will set you apart as a candidate.
As a Model Calibration Specialist, you will play a crucial role in ensuring the accuracy and fairness of model-generated QA outcomes. You will review conflicts between human and model decisions, analyzing patterns in false positives and negatives to refine training data. Your work will directly impact how DoorDash calibrates its machine learning models, optimizing support agent workflows and enhancing the overall customer experience. You will collaborate with cross-functional teams to surface insights and drive improvements in QA processes. Your mission will be to ensure that the outcomes align with DoorDash's core values and principles, ultimately contributing to a high-quality support experience for both internal and external customers.
DoorDash provides a hybrid work environment, allowing you to balance in-office presence with remote work. You will be part of a dynamic team focused on quality assurance and customer experience, with opportunities for professional growth and development. The company values collaboration and innovation, encouraging you to share your insights and contribute to the team's success. You will have access to resources and support to help you excel in your role, making a meaningful impact on the customer experience at DoorDash.
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