Engineering Manager, Personalization & Real-Time ML

DoorDash, Inc.; San Francisco, Sunnyvale (CA, CA); On-site; USD 194,000 - 285,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

wellness benefits

commuter benefits match

paid time off and paid sick leave as 0

medical, dental, and vision benefits

11 paid holidays

disability and basic life insurance

family-forming assistance

mental health program

Job summary

DoorDash, Inc. is seeking an Engineering Manager with an ML background to lead the Personalization engineering team responsible for ML ranking and recommendation systems that maximize value for consumers, merchants, and DoorDash.

You will guide a team of world-class ML engineers, define the personalization strategy and roadmap, and collaborate with Product, Design, and Business stakeholders to deliver impactful, real-time personalization across platforms.

Qualifications

• 7+ years of industry experience.
• Minimum of 2 years of leadership experience.
• Broad knowledge of machine learning with strong ML modeling foundation.
• Extensive experience in building user-facing product and working directly with product managers.
• Strong communication skills and the ability to partner with teams spanning many disciplines.
• Ability to guide and grow an excellent engineering team in a rapidly changing business environment.

Responsibilities

• Lead a team of ML engineers delivering end-to-end personalization experience.
• Define personalization strategy and technology roadmap.
• Collaborate with Product, Design, and Business stakeholders to define roadmap and vision.
• Drive innovation and adoption of cutting-edge ML technologies.
• Scale the team by developing internal talent and attracting top external talent.

Skills

Machine learning

Leadership

Cross-functional collaboration

Communication

Product collaboration

Education

B.S., M.S., or PhD. in Computer Science

Job description

DoorDash, Inc. is seeking an Engineering Manager with an ML background to lead the Personalization engineering team responsible for ML ranking and recommendation systems that maximize value for consumers, merchants, and DoorDash.

You will guide a team of world-class ML engineers, define the personalization strategy and roadmap, and collaborate with Product, Design, and Business stakeholders to deliver impactful, real-time personalization across platforms.