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About the Role
Lead a team of world-class ML engineers in redefining DoorDash's personalization experience using cutting-edge technologies. Define the company's personalization strategy and technology roadmap.
Responsibilities
- Build an intent agent that makes granular predictions of consumer intent upon app open and shapes the experience.
- Leverage LLM and Deep Learning (GNN, MTL, Transformers) to augment the personalization stack, focusing on semantic understanding of entities.
- Extend the blender to combine content from various verticals and business lines, balancing value for all stakeholders.
- Implement real-time ranking that adapts to consumer signals as they occur.
- Lead and grow a team of machine learning engineers in delivering end-to-end personalization with state-of-the-art ML approaches.
- Collaborate with Product, Design, and Business stakeholders to define the team's roadmap and vision.
- Foster innovation, adoption of cutting-edge technologies, creative thinking, and teamwork.
- Develop internal talent and attract external talent to scale the team.
- Coach and empower engineers through delegation and technical expertise, upholding high engineering standards.
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 a strong ML modeling foundation.
- Extensive experience in building user-facing products and working directly with product managers.
- Strong communication skills and ability to partner with cross-functional teams.
- Ability to guide and grow an engineering team in a rapidly changing business environment.
- 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.
Skills
- Machine Learning
- ML Modeling
- LLM
- Deep Learning
- GNN
- MTL
- Transformers
- Ranking Systems
- Recommendation Systems
- Real-time ML Systems
- Communication
Location
- United States
- Illinois
- Colorado
- NYC
- Remote
Work Type
- Full-time
Experience Level
- 7+ years of industry experience
- 2+ years of leadership experience
Education Level
- B.S., M.S., or PhD. in Computer Science or equivalent
Salary/Compensations
- $193,800—$285,000 USD
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Medical benefits
- Dental benefits
- Vision benefits
- 11 paid holidays
- Disability insurance
- Basic life insurance
- Family-forming assistance
- Mental health program
- Flexible paid time off/vacation for salaried roles
- 80 hours of paid sick time per year for salaried roles
About the Company
- DoorDash's mission is to empower local economies.
- DoorDash is a technology and logistics company.
- DoorDash is growing rapidly and constantly changing.
- DoorDash is committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Equal Opportunity
- We’re committed to growing and empowering a more inclusive community within our company, industry, and cities.
- We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
- We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
- No employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
- We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
- We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with applicable regulation.
- If you need any accommodations, please inform your recruiting contact upon initial connection.