Engineering Manager, Personalization (San Francisco)

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. DoorDash is looking for an Engineering Manager with an ML background to lead the Personalization engineering team. This team is responsible for building ML ranking and recommendation systems to maximize the value for consumers, merchants, and DoorDash.

Key responsibilities

• Build an intent agent that makes granular predictions of what each consumer is here for the moment they open the app
• Leverage cutting-edge LLM and Deep Learning (GNN, MTL, Transformers) to augment DoorDash’s personalization stack
• Extend the blender to blend content from different verticals and business lines, like reservations, going out, and ads, balancing value for consumers
• Take personalization to real-time ranking that reacts to consumer signals as they happen
• Lead and grow a team of exceptional machine learning engineers delivering on end-to-end personalization experience with state-of-the-art ML approaches
• Work with Product, Design, and Business stakeholders directly across DoorDash to define the roadmap and vision for the team and deliver immense impact

Requirements

• In Computer Science or equivalent
• 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

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $193,800 to $285,000 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.