Machine Learning Engineer, Forecast Platform - Remote

Overview

As a Machine Learning Engineer, you will help improve the operational efficiency of DoorDash's logistics engine by developing ML models that impact millions of users.

In Short

• Build time-dependent statistical and ML models.
• Own the modeling life cycle end-to-end.
• Contribute to the development of the Forecasting Self-Service Platform.
• Research new tools within the Forecasting space.
• Collaborate with engineers, analysts, and product managers.
• Drive operational efficiency in a fast-paced environment.
• Utilize robust data and machine learning infrastructure.
• Impact business processes and service quality.
• Work in a hyper-growth setting.
• Engage in continuous learning and skill expansion.

Requirements

• M.S. and 3+ years or PhD. and 1+ year(s) experience in ML.
• Expertise in object-oriented programming and ML libraries.
• Understanding of complex systems and domain knowledge in ML.
• Experience shipping production-grade ML models.

Benefits

• Comprehensive benefits package including 401(k) with employer match.
• Paid time off and parental leave.
• Medical, dental, and vision benefits.
• Mental health program and wellness benefits.
• Opportunities for equity grants.