Staff Machine Learning Engineer

DoorDash is seeking a passionate Staff Machine Learning Engineer to join their Personalization team. This role involves developing production machine learning solutions to build a world-class personalized shopping experience for a diverse and expanding retail space. The ideal candidate will have 8+ years of industry experience in developing ML models with business impact, an advanced degree in a quantitative field, and expertise in applied ML for Causal Inference and Recommendation Systems.

Key responsibilities include:

• Conceptualizing, designing, implementing, and validating algorithmic improvements for growth and personalization experiences in DoorDash's grocery and retail delivery business.
• Using robust data and ML infrastructure to implement new ML solutions for more relevant, seamless, and delightful consumer search experiences across various retail categories.
• Partnering with engineering and product leaders to shape the product roadmap applying ML.
• Mentoring junior team members and leading cross-functional pods to create collective impact.

The role offers opportunities for equity grants and a comprehensive benefits package. DoorDash values diversity and inclusion, encouraging applications from individuals of all backgrounds. The position is hybrid, allowing for both in-office and remote work.

If you're passionate about applied machine learning, have a strong command of production-level ML, experience solving end-user problems, and collaborate well with multi-disciplinary teams, this could be an exciting opportunity to make a significant impact in the fast-growing world of on-demand retail and grocery delivery.