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Ford Racing Body Exterior Engineer
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Senior Staff Software Engineer, Platform
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Facility Manager
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(3rd) Third Class Engineer
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Added 8 mins ago
Graduate Engineer, Mechanical - Mission Critical
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Software Test Engineer
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Full-stack Engineer 4 (Manager, IC )
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Network Engineer 5 (DNS | DHCP | IPAM)
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Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
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Full-stack Engineer 4
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McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4

Google

Software Engineer III, AI/ML, Google Labs

Mountain View, CA, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Software Engineer III, AI/ML, Google Labs

Share Software Engineer III, AI/ML, Google Labs

corporate_fare Google place Mountain View, CA, USA; Boulder, CO, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Software Engineer III, AI/ML, Google Labs

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XIn most instances, this position requires in-person interviews as part of the hiring process.

The application window will be open until at least November 13th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Boulder, CO, USA .

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.
1 year 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 decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science, or in a related technical field.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.

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.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

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

Apply deep expertise in agentic systems including planning, memory, context management, tool-use, and loops to rapidly prototype and evaluate novel solutions for user simulation, playtesting and making software testable.
Exercise strong product judgment to build "right-sized," reliable infrastructure for agent serving-prioritizing velocity and MVP readiness while maintaining practical standards for latency, quality, and cost.
Design benchmarks to measure success and perform quality work for the agentic stack, and constantly analyze, iterate and pivot with fast experiments.
Operate with a rolled-up mindset by seamlessly blending the responsibilities of Software Engineering, Product Management, Research, Data Science and UX Research teams.
Thrive in a fast-moving, 0-to-1 space. Turn open-ended product and technical questions into clear implementations, working closely with an agile team to test ideas and build solutions.

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.

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More about this job

Skills

ML
Software development
Programming languages
Decision making
Machine learning
Process data
Debugging
Computer science
Distributed computing
Data storage
Natural language processing
UI design
Leadership
Prioritization
Research
Recruitment

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