Machine Learning Engineer - ETA Team
Sunnyvaleonsitemid$15K – $17K
via Greenhouse
About this role
About the Team
Join us in building the world's most reliable on-demand logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us develop and improve the ETA models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a fundamental area of investment for DoorDash, ETA has among the coolest problems to solve at scale and creates a major impact on the company and its businesses.
About the Role
As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and optimization ETA models that impact millions of users across our three audiences and tackle our most challenging business problems.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, go, spark, airflow, pytorch…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Sunnyvale. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythongosparkairflowpytorchclaudeteamslever
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