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Added just now
Lead AI/ML Ops Engineer
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Identifies and recommends process improvements that reduce workloads, improve quality, or strengthen operational outcomes.
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Sr AI/ML Ops Engineer
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A Manufacturing Engineer at CDC is a self-starter who works toward implementing an overall strategic plan. The Manufacturing Engineer performs engineering work related to the design and…
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Electrical Commissioning Engineer 1.5
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Technical Lead, Full-Stack Engineering – AI-Native Solutions
Guidehouse
MCLEAN, VA
- $113,000 to $188,000 USD / year
Engineer for performance, reliability, scalability, and maintainability; lead code reviews for your workstream and validate behavior through automated tests and representative workloads.
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Full-Stack Engineer – AI-Native Solutions
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MCLEAN, VA
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Lead AI Software Engineer
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Senior AI Software Engineer
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Information Systems Security Engineer (ISSE)
Amazon
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Closed listing

Google

Software Engineer III, AI/ML GenAI

Mountain View, CA, United States
San Francisco, CA, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Nov 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Software Engineer III, AI/ML GenAI

Share Software Engineer III, AI/ML GenAI

corporate_fare Google place New York, NY, USA; Kirkland, WA, USA; +4 more; +3 more

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 GenAI

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Kirkland, WA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA .

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience programming in Python or C++.
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 infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

PhD in computer science or related field.
Experience working across PAs, in particular with Research, DeepMind and Search
Experience with Google infrastructure such as Flume and Compute Infrastructure.
Specialization in machine learning (NLP or CV) with a relevant publication record.
Strong analytic abilities for data analysis.
Applied ML skills (LLMs, NLP), experience with jax/pytorch, python, and building/launching ML models.

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.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

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

Build large-scale multimodal models of human attention and behavior using novel interaction signals, machine learning (ML), data analysis, natural language processing (NLP), and computer vision.
Develop and evaluate ML models on large-scale user logs to predict behavior, and build the infrastructure for model training and serving.
Run statistical analysis to find insights and publish research papers that contribute to ML, NLP, and computer vision.
Share results with the partner Product Area (PAs) to drive design and launch decisions. Work closely with them to fold models into products like Gemini and Search and make quality measurably better.
Lead research projects independently, adapt to new information, and communicate findings within a collaborative team.

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.

About employer

More about this job

Skills

ML
Python
C++
Decision making
Machine learning
Process data
Debugging
Computer science
Research
Natural language processing
Data analysis
PyTorch
Distributed computing
Data storage
UI design
Leadership
Statistics
Publish academic research
Recruitment

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