Staff ML Engineer - Real-Time Fulfillment & Logistics

DoorDash; Sunnyvale (CA); On-site; USD 137,100 - 201,600; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Paid time off and sick leave

Medical, dental, and vision benefits

Wellness benefits

Job summary

DoorDash is seeking a Staff Machine Learning Engineer in Sunnyvale, California, to lead the design, development, and deployment of large-scale ML systems. This role involves influencing technical direction and collaborating across teams to improve logistics.

The ideal candidate has over 8 years of experience in implementing production ML systems and strong machine learning fundamentals. Join a team dedicated to optimizing logistics effectiveness and delivery quality.

Comprehensive benefits and opportunities for equity grants available.

Qualifications

• 8+ years of industry experience building and deploying production-scale machine learning systems.
• Strong machine learning fundamentals to apply in large-scale systems.
• Experience leading complex technical projects end to end.

Responsibilities

• Lead design, development, and deployment of large-scale production ML systems.
• Own ML systems for assignment and fulfillment estimation.
• Collaborate with cross-functional teams to improve logistics.

Skills

Python

Machine Learning

Deep Learning Frameworks

Production ML Systems

Stakeholder Influence

Job description

DoorDash is seeking a Staff Machine Learning Engineer in Sunnyvale, California, to lead the design, development, and deployment of large-scale ML systems. This role involves influencing technical direction and collaborating across teams to improve logistics.

The ideal candidate has over 8 years of experience in implementing production ML systems and strong machine learning fundamentals. Join a team dedicated to optimizing logistics effectiveness and delivery quality.

Comprehensive benefits and opportunities for equity grants available.