
Senior Software Engineer, AI/ML, Geo and Gemini App
New York, NYJob$174–252K/yrSeen todaySeen in employer's feed today
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Job overview
Google’s Geo team builds mapping products and platforms used by people and developers worldwide. This Senior Software Engineer will develop AI/ML capabilities for Geo and the Gemini app, including context engineering pipelines, agentic workflows, evaluation frameworks, and serving infrastructure. The role analyzes model behavior and user metrics, improves system helpfulness, and collaborates across engineering, product, UX, and research teams.
Skills & qualifications
Skills
Qualifications
Full job description
Senior Software Engineer, AI/ML, Geo and Gemini App
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
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Bachelor’s degree or equivalent practical experience.
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5 years of experience developing C++ backend infrastructure components within distributed systems.
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3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
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Experience with Large Language Models (LLMs) and Generative AI concepts (e.g., prompt engineering, retrieval-augmented generation (RAG)).
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Experience with model quality optimization using methods such as loss analysis or quality hillclimbing.
Preferred qualifications:
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5 years of experience with data structures and algorithms.
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1 year of experience in a technical leadership role.
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Experience working in a changing, startup-like environments with rapidly changing priorities.
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Experience in data analysis, experimental design, and statistical methods.
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Experience with common ML frameworks (e.g., TensorFlow, JAX, PyTorch).
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Familiarity with user metrics logging and A/B testing for software products.
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.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Build context engineering pipelines, agentic workflows with tool usage, and robust evaluation frameworks.
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Analyze model behavior, creating high-quality evaluation datasets to identify weaknesses and guide performance improvements.
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Enhance serving and evaluation infrastructure to power new user-facing features.
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Act as a technical bridge between engineering, product, UX, and research teams to translate user needs into valuable features.
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Analyze user metrics and model outputs to enhance personalization and overall system helpfulness.
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.
How this job compares
Set against the 41,631 open Software Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$174–252K/yr
- New York median$158–225K/yr2,404 salary ranges
- US median$135–217K/yr33,223 salary ranges
This range's midpoint, $213K, is 10% above the New York median midpoint ($194K) — in the middle half of Software Engineer salary ranges in New York.
- Openings
- Olive Jobs lists 3,080 open Software Engineer jobs in New York and 41,631 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (33,828 postings).
- Education
- 14,293 of the 41,631 open Software Engineer jobs (34%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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