Staff Software Engineer, Generative AI, Core Machine Learning

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Algorithms, Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Natural Language, Artificial Intelligence (AI) Programming Languages, Cloud Computing, Computer Science, Consulting, Cross-Functional, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Ecosystems, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Sales, French Language, Genetics, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Machine Learning, Matrix Management, Mechanical Engineering, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Management, Organizational Skills, Product/Service Launch, Program Planning, Project/Program Management, Prototyping, Recruiting/Staffing Agency, Regulatory Requirements, Reinforcement Learning, Safety Codes, Sales, Sales Management, Security Architecture, Software Administration, Software Development, Software Engineering, Startup, Systems Scalability, Team Lead/Manager, Technical Leadership, Technical Support, Test Plan/Schedule, Testing, Time Management, User Interface Design, Web Client Plug-ins
LOCATION
Mountain View, CA
POSTED
17 days ago

Staff Software Engineer, Generative AI, Core Machine Learning - Google Careers

Careers

Careers

Skip navigation links

homehome

Home

Home

work_outlinework_outline

Jobs

Jobs

noogler_hatnoogler_hat

Students

Students

googlegoogle

How we work

How we work

handymanhandyman

How we hire

How we hire

person_outlineperson_outline

Your career

Your career

help_outline

Help link

feedback

Send feedback

more_vert

  • Help
  • Send Feedback

Sign in

Careers

Careers

homeHome

work_outlineJobs

expand_more

noogler_hatStudents

expand_more

googleHow we work

expand_more

handymanHow we hire

expand_more

person_outlineYour career

expand_more

job details

arrow_back

Back to jobs search

Jobs search results

4,092 jobs matched

  • Technical Account Manager, Google Cloud Consulting

Sunnyvale, CA, USA; San Francisco, CA, USA

  • GECX AI Sales Specialist, Google Cloud

Tokyo, Japan

  • Customer Engineering Manager, Practice, Google Cloud

Bengaluru, Karnataka, India; Mumbai, Maharashtra, India

  • Technical Solutions Engineer I, Infrastructure, Compute, Google Cloud

Bengaluru, Karnataka, India

  • Software Engineering Manager II, Google Cloud

Bengaluru, Karnataka, India

  • Technical Program Manager, Search Platform

Bengaluru, Karnataka, India

  • Control Systems Networking Engineer

Sunnyvale, CA, USA; Columbus, OH, USA; +3 more; +2 more

  • Software Engineer, On Device Machine Learning

Taipei, Taiwan

  • Field Sales Representative III, Growth Startups, Google Cloud

San Francisco, CA, USA; Sunnyvale, CA, USA

  • Staff Data Scientist, Product

Kirkland, WA, USA; Sunnyvale, CA, USA

  • Senior Software Engineer, Generative AI, Core ML

Mountain View, CA, USA

  • Senior Security Architect, Mandiant, Google Cloud (English)

India | Remote eligible

  • Staff Software Engineer, AI/ML GenAI, Google Cloud AI

Sunnyvale, CA, USA

  • AI Technical Enablement Program Manager, Google Cloud

Austin, TX, USA; Atlanta, GA, USA; +3 more; +2 more

  • Leadership Technical Program Manager, Planning Operations

Thornton, CO, USA; Addison, TX, USA

  • Senior Staff Applied AI Agent Engineer, GCP

London, UK

  • Data Center Mechanical Engineer

Eemshaven, Netherlands

  • Senior Software Engineer, Data Cloud Frontier AI

Kirkland, WA, USA; Sunnyvale, CA, USA; +2 more; +1 more

  • Workspace Sales Specialist, Google Cloud (Fixed-Term Contract) (English, French)

Paris, France

  • Software Engineer, Mobile iOS, Maps

San Francisco, CA, USA; Mountain View, CA, USA

Showing 1 to 20 of 4092 rows

1‑20 of 4092

navigate_next

Follow Life at Google on

*

More about us

About usopen_in_newContact usopen_in_newPressopen_in_new

Related Information

Investor relationsopen_in_newBlogopen_in_new

Equal Opportunity

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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

More about us

expand_more

Related information

expand_more

Equal opportunity

expand_more

Privacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookies

helpHelpopen_in_new

arrow_back

Back to jobs search

Staff Software Engineer, Generative AI, Core Machine Learning

share

  • linkCopy link
  • emailEmail a friend

corporate_fareGoogleplaceMountain View, CA, USA

bar_chartAdvanced

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Apply

share

  • linkCopy link
  • emailEmail a friend

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential).
  • 5 years of experience testing, and launching software products.
  • 1 year of experience in building Generative AI or agentic applications.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a ML-related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Production experience in applying ML related features to a scalable system.

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.

In this role, you will transform the development of AI agents from an artisanal craft into an engineering discipline to achieve high-quality, reliability with multi-folds efficiency gains across Google. You will architect and productionize horizontal infrastructure, including generalized Knowledge Store libraries and self-reflection modules. You will apply core design principles, lead deep audits of high-impact agents to extract deterministic logic from monolithic prompts into efficient, code-based workflows. You will scale automated prompt optimization and trace scanning tools to systematically eliminate waste and solve the "GenAI engineering gap" for teams building production-ready agents. Your work will bridge the gap between experimental prototypes and scalable production infrastructure.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Generalize horizontal tools, including a plug-in Knowledge Store and a Self-Reflection module, into reusable services that any agent can adopt to enable automated learning and improvement.
  • Apply validated design principles to transition deterministic logic from monolithic prompts into efficient, code-based workflows that maximize reasoning value and ensure precise context control.
  • Execute deep architectural reviews and automated trace scanning for high-impact agents to eliminate structural inefficiencies and redundant tool calls in multi-turn reasoning chains.
  • Extend automated prompt optimization frameworks to support multi-step workflows, enabling systematic improvement of both efficiency and quality across the agent ecosystem.
  • Implement code-level safety enforcements and structured tool return patterns within the agent platform to ensure reliability and correctness on deterministic subtasks.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Follow Life at Google on

*

More about us

About usopen_in_newContact usopen_in_newPressopen_in_new

Related Information

Investor relationsopen_in_newBlogopen_in_new

Equal Opportunity

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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

More about us

expand_more

Related information

expand_more

Equal opportunity

expand_more

Privacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookies

helpHelpopen_in_new

Follow Life at Google on

*

More about us

About usopen_in_newContact usopen_in_newPressopen_in_new

Related Information

Investor relationsopen_in_newBlogopen_in_new

Equal Opportunity

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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

More about us

expand_more

Related information

expand_more

Equal opportunity

expand_more

Privacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookies

helpHelpopen_in_new

Google apps

Main menu

About the Company

G

Google LLC