Engineering Manager, Personalization

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. The Personalization team is a part of the Core Consumer org, which owns the top of the conversion funnel from the initial landing page all the way to checkout across platforms.

Responsibilities

Lead and grow a team of exceptional machine learning engineers delivering on end-to-end personalization experience with state-of-the-art ML approaches; Build an intent agent that makes granular predictions of what each consumer is here for the moment they open the app, and shapes the experience around it; Leverage cutting-edge LLM and Deep Learning (GNN, MTL, Transformers) to augment DoorDash's personalization stack, starting with semantic understanding of every entity we rank; Extend the blender to blend content from different verticals and business lines, like reservations, going out, and ads, balancing value for consumers, merchants, and DoorDash; Take personalization to real-time ranking that reacts to consumer signals as they happen; Work with Product, Design, and Business stakeholders directly across DoorDash to define the roadmap and vision for the team and deliver immense impact; Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking and teamwork; Build an outstanding team by coaching and empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards; Scale the team by developing internal talent and attracting top external talent

Requirements

B.S., M.S., or PhD. 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; Ability to guide and grow an excellent engineering team in a rapidly changing business environment

Nice to have

Experience leading the successful application of machine learning to real-world ranking and recommendation problems; Experience with LLM-powered agents, semantic representations of users and content, multi-objective blending, or real-time ML systems

Benefits

401(k) plan with employer matching; 16 weeks of paid parental leave; wellness benefits; commuter benefits match; paid time off and paid sick leave; medical, dental, and vision benefits; 11 paid holidays; disability and basic life insurance; family-forming assistance; mental health program; equity grants