
Software Engineer, AI/ML, Search Personalization
Mountain View, CAJob$147–210K/yrSeen 3w agoSeen in employer's feed 4 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near Mountain View, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Google seeks a mid‑level Software Engineer specializing in AI/ML and search personalization to design, develop, and optimize recommendation systems and generative AI integrations, collaborating across teams to advance large‑scale search technologies.
Skills & qualifications
Skills
Qualifications
Full job description
Software Engineer, AI/ML, Search Personalization
Share Software Engineer, AI/ML, Search Personalization
corporate_fare Google place Mountain View, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Software Engineer, AI/ML, Search Personalization
info_outline
XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
-
Bachelor’s degree or equivalent practical experience.
-
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
-
2 years of experience with software development in C++ programming language.
-
1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
-
1 year of experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
-
Master's degree or PhD in Computer Science or related technical fields.
-
2 years of experience with data structures and algorithms.
-
Experience developing accessible technologies.
-
Experience developing algorithms (e.g., ranking, recommendations, prediction, search quality, personalization) and software that generates suggestions based on various input and output goals.
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.
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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
-
Write product or system development code.
-
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
-
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
-
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
-
Utilize AI tools and technologies; Be prepared to discuss your knowledge and use of AI tools during the hiring process.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Senior System Software Engineer, ML and Vector SearchNVIDIA · Remote · US · $184–288K/yrPosted 3w agoPosted 3w ago
Senior Software Engineer, ML LoopNVIDIA · Santa Clara, CA · $168–270K/yrPosted 1 day agoPosted 1 day agoSenior Software Engineer, AIFloQast · San Jose, CA (Hybrid)Posted 2w agoPosted 2w ago
AI Software Engineer, Lightspeed StudiosNVIDIA · Remote · US · $224–431K/yrPosted 5 days agoPosted 5 days ago
Staff AI/ML Software Engineer, Model Distillation & Fine-TuningGeneral Motors · Mountain View, CA (Hybrid) · $189–291K/yrPosted 3w agoPosted 3w ago
You've read the whole posting — now see how you match it.