Quality engineering
DoorDash
San Francisco, California
quality engineering
engineering
team
engineers
search
learning
lead
machine learning
engineering
modal
optimization
delivering
art
April 28, 2024
DoorDash
San Francisco, California
FULL_TIME
About the Role
You will lead a team of world-class ML engineers redefining the search experience through cutting edge approaches to query and document understanding, multi-modal and multi-stage ranking and strategic optimization .
You’re excited about this opportunity because you will
- Lead and grow a team of exceptional machine learning engineers delivering on end-to-end search quality with state of the art ML approaches
- Leverage cutting edge LLM and Deep Learning (GNN, MTL, Transformers) to augment the DoorDash Search stack
- 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, and attracting top external talent
We're excited about you because you have
- 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
Last updated : 2024-04-15
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