Machine Learning Engineer, Dasher Earnings - Remote

Overview

As a Machine Learning Engineer in the Dasher Earnings team at DoorDash, you will lead the design and deployment of models that have a direct and measurable business impact, focusing on maximizing earning opportunities for Dashers.

In Short

• Lead the design and deployment of impactful ML models.
• Drive the full ML lifecycle including feature creation, model development, and monitoring.
• Collaborate with cross-functional partners in product, operations, and analytics.
• Contribute to evolving pay models and optimizing driver incentives.
• Work with large datasets to build optimization pipelines.
• Conduct robust sequential experiments to test hypotheses.
• Shape the future direction of pay optimization.
• Automate and scale model deployment processes.
• Thrive in a fast-paced, ambiguous environment.
• Passionate about using ML for high-impact real-world problems.

Requirements

• 1+ years of industry experience post PhD or 3+ years post graduate degree in ML.
• Hands-on experience with production ML models and pipelines.
• Strong fundamentals in applied machine learning and optimization.
• Experience in experiment design and analysis.
• Ability to collaborate with cross-functional teams.
• Motivated by measurable impact and results.

Benefits

• Comprehensive benefits package including healthcare and wellness programs.
• 401(k) plan with employer matching.
• 16 weeks of paid parental leave.
• Flexible paid time off and sick leave policies.
• Opportunities for equity grants.
• Support for mental health and family-forming assistance.