Google machine learning engineer jobs
- Open jobs
- 49
- First seen in the last 30 days
- 46
- Median days open, by our records
- 11
- Reposted
- 16%
What these jobs say
- Where
- Mountain View, California 26, Sunnyvale, California 11, New York 3, San Bruno, California 2, Seattle, Washington 2, Chicago, Illinois 1
- Level
- Mid-level 4, Senior 17, Staff 26, Lead 1, Manager 1
- Tools named most
- Python 20, C++ 19, Java 8, SQL 4, C 3, GCP 3, JavaScript 2, Kubernetes 2
- Experience asked
- 8 years at least, at the median of 49 jobs that say
Teams hiring and what the work is
- Tax Technology
Build machine learning pipelines and automation tools that help Google's tax partners make informed decisions and manage risk.
Data Analytics and Systems Analyst, Tax Technology - YouTube Recommendations ML
Lead engineers building large-scale ML recommender models for YouTube, including ranking, retrieval and LLM-based work.
Senior Engineering Manager, YouTube, Recommendations ML - AI and Infrastructure team
Lead design and implementation of ML solutions and ML infrastructure for Google Cloud products, and guide engineers on model optimization and data processing strategy.
Staff Software Engineer, AI/ML, Google Cloud - Google Ads AI/ML
Build and test machine learning and software systems for Google Ads, which serves billions of users and advertisers.
Senior Software Engineer, AI/ML, Google Ads - Google Discover personalized interest feed
Build and improve the ML models that profile user interests and retrieve candidate content for Google Discover's personalized feed.
Senior Software Engineer, Machine Learning, Discover Interest Modeling and Retrieval - Google Cloud Compute Infrastructure, AI/ML GenAI
Lead large-scale ML infrastructure optimization and design GenAI solutions for Google Cloud compute products, guiding a distributed team of engineers.
Senior Staff Software Engineer, AI/ML GenAI, Google Cloud Compute Infrastructure
The newest 40 of 49 open jobs
Counts cover every open machine learning engineer job we read from Google's own careers site, last checked Nov 10, 2026. The role is the one the work describes, whatever the title says. Ages use the day we first saw each job. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system. How we count Report an error