ML Platform Engineer — Build Scalable ML Pipelines
Listed on 2026-10-12
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IT/Tech
Machine Learning/ ML Engineer, Data Engineering, AI Engineer (Applied/Software)
Door Dash is seeking data scientists and ML engineers to leverage delivery data, improving ML workflows for search and recommendations, dasher assignment, ETA prediction, and capacity planning. This role is hybrid in San Francisco, Sunnyvale, or Seattle, with a small team focused on scalable ML platforms.
You will help design and deploy models, build high-performance pipelines, and ensure reliable training and inference infrastructure at scale, collaborating with data scientists and product
The following opportunity is for a ML Platform Engineer — Build Scalable ML Pipelines with Doordashusa.
The advertised compensation is 131..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the ML Platform Engineer — Build Scalable ML Pipelines role in the description above.
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