Senior Staff ML Engineer, Personalization at Scale

DoorDash; Seattle (WA); On-site; USD 242,800 - 357,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Medical, dental, and vision benefits

Paid time off and sick leave

Mental health program

Job summary

DoorDash is seeking a Senior Staff Machine Learning Engineer to lead personalization strategy across consumer experiences. You'll leverage machine learning to enhance consumer search relevance and modernize recommendation systems. The ideal candidate will have over 10 years of experience and a strong command of production-level machine learning.

Compensation includes a base salary range of $242,800—$357,000, dependent on various job-related factors. Benefits also encompass a comprehensive package that supports employee wellness.

Qualifications

• 10+ years of industry experience developing machine learning models with business impact.
• Proven ability to drive multi-quarter technical roadmaps as a technical lead.
• Humility and growth mindset, leading through expertise and collaboration.

Responsibilities

• Drive the engineering vision, strategy, and execution for an organization of 150+.
• Grow and nurture impactful business-focused product engineering teams.
• Partner with Business, Product, and Engineering teams for transformation.

Skills

Machine learning models

AI coding tools

Technical leadership

Deep learning

Cross-functional collaboration

Education

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

Job description

DoorDash is seeking a Senior Staff Machine Learning Engineer to lead personalization strategy across consumer experiences. You'll leverage machine learning to enhance consumer search relevance and modernize recommendation systems. The ideal candidate will have over 10 years of experience and a strong command of production-level machine learning.

Compensation includes a base salary range of $242,800—$357,000, dependent on various job-related factors. Benefits also encompass a comprehensive package that supports employee wellness.