Model Calibration Specialist at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

• Develop deep expertise in DoorDash’s support systems and workflows to support better model calibration and review alignment
• Review and resolve conflicts between ML model outputs and human QA decisions, especially in ambiguous or high-risk cases
• Analyze patterns in false positives, false negatives, and overrides to identify areas for calibration or reviewer training
• Act as a subject matter expert for edge case resolution and decision documentation
• Recommend improvements to agent workflows and support tools based on calibration findings
• Contribute directly to improving the training data and feedback loop used by our automated QA system — ensuring our model reflects human standards of quality and fairness

Required Qualifications

• 2+ years in Quality Auditing, or a related role
• Proficiency in Microsoft and/or Google Suite

Key Skills

• Clear communication to convey insights and escalate edge cases across teams
• Analytical thinking: working from first principles, testing hypotheses, and validating ideas with data
• Problem solving: thriving on ambiguity, translating blockers into actionable steps and scalable improvements
• Independence: managing own queue and priorities in a fast-paced, team-oriented environment
• Ownership mentality, striving for continuous improvement, and embodying the 1% better philosophy

Preferred Qualifications

• Experience with machine learning processes

DoorDash Benefits

• Premium healthcare
• Wellness expense reimbursement
• Paid parental leave

Job Summary

About the Team

DoorDash’s Customer Experience Insights (CXI) Quality Assurance team safeguards the consistency and excellence of every support interaction. Our goal is to ensure that the experience and outcomes of our internal and external customers align with DoorDash's core values and principles. 

About the Role

As a Model Calibration Specialist, you’ll be a key player in scaling high-quality QA outcomes across DoorDash Support. You will serve as a bridge between human QA reviewers, machine learning systems, and cross-functional stakeholders. Your mission: ensure model-generated QA outcomes are accurate, fair, and reflect real-world expectations.

You’ll review conflicts between human and model decisions, investigate edge cases, and surface ...

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