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This listing was closed on Jul 19, 2026.
Browse Open JobsSenior Ads ML Engineer: Scalable Recommendations
Summary by AIEngineer.careers
Senior Ads ML Engineer: Scalable Recommendations is a Machine Learning Engineer role (full-time). with Uber. in SAN FRANCISCO, US. Compensation shown: $198K–$220K. Imported listing (source: mediabistro.com). Apply on the employer's site (mediabistro.com).
Imported listing (source: mediabistro.com) · Apply on mediabistro.com
SAN FRANCISCO · US
$198K–$220K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from mediabistro.com
Uber is seeking a Senior Ads ML Engineer to define and execute the Ads ML roadmap, designing ML models for ad recommendations and developing scalable infrastructure. The role involves collaboration with cross-functional teams and requires strong experience in machine learning and data analysis.
Responsibilities
- Design and implement ML models for ad recommendations. Develop scalable infrastructure for ad systems. Collaborate with various teams to execute the Ads ML roadmap.
Requirements
- Experience in Python and SQL. Strong background in machine learning and data analysis.
Tech Stack
PythonSQL
Uber
San Francisco · US · 68165+ employees
Uber is a global technology platform that connects consumers with independent providers of mobility, delivery, and logistics services. Its offerings include ridesharing, food delivery through Uber Eats, and freight transportation.
