DoorDash is seeking to solve the problem of optimizing the matching of orders with capable delivery individuals, maintaining a real-time understanding of in-store item availability, and enhancing user engagement and satisfaction through advanced ML/AI methodologies.
Requirements
- Broad knowledge of machine learning with strong Operations Research and ML modeling foundation
- Extensive experience in building user-facing product and working directly with product managers
- Experience in leading successful application of machine learning to ranking and recommendation real-world problems is preferred
- Strong foundation in Computer Vision and Generative AI
- Experience with Operations Research, Forecasting and Time-series modeling techniques
- Experience with Last Mile Logistics Optimization
Responsibilities
- Lead and grow a team of exceptional machine learning engineers delivering on end-to-end product features with state of the art ML/AI approaches
- Leverage cutting edge Operations Research, Forecasting and Time-series modeling techniques, Last Mile Logistics Optimization, Computer Vision, and a blend of Classical ML with Generative AI to solve real consumer problems
- Work with Product, Design, and Business stakeholders 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, and attracting top external talent
Other
- B.S., M.S., or PhD. in Computer Science or equivalent
- 7+ years of industry experience
- Minimum of 2 years of leadership experience
- 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
