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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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