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Alphabet · Mountain View, CA

# Machine Learning Staff Software Engineer, Search Personalization

Mountain View, CA, USA Senior individual contributor Software Engineering 

Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there.
[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/94644810190594758-machine-learning-staff-software-engineer-search-personalization)

[OpenNash Jobs](https://jobs.opennash.com/) / [Alphabet](https://jobs.opennash.com/companies/alphabet/) / Machine Learning Staff Software Engineer, Search Personalization

## Job description

info_outline About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables.

You will design, develop, test, deploy, maintain, and enhance software solutions. As a part of the Discover Personalization team, you will help people feel positively connected and informed about the world around them by delivering the pulse of the Internet that matters to you, within Google Search. You will contribute to the key product's appeal, which lies in having an understanding of users and will be laser focused on building foundational user models for users using all of their interactions across Google products, and leveraging them to power Discover’s retrieval and ranking.

You will manage some of the toughest ML and Quality problems, including Neural Deep Retrieval, Activity Clustering, Reinforcement Learning and Multi-Objective Ranking. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.

In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

### US

$207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 30, 2026
- Last checked: Oct 30, 2026
- Listed for: Under a day
- Location: Mountain View, CA, USA[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/94644810190594758-machine-learning-staff-software-engineer-search-personalization)

## Hiring at Alphabet
- Open jobs: 3,591
- New in the last 7 days: After two weekly collections
- Tracked since: Aug 20, 2026

[All Alphabet jobs](https://jobs.opennash.com/companies/alphabet/) · [Weekly hiring report](/reports/hiring/)

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