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Senior Software Engineer, AI Memory and Context, AIR

GoogleMountain View, CA, USA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience driving cross-functional collaboration, decision making, and data analysis.

Preferred qualifications:

  • 5 years of experience with data structures/algorithms.
  • Experience growing and delivering impactful results in a fast-paced, ambiguous, and resource-constrained environment (e.g., startup experience, new product incubation, research and development teams).
  • Experience developing, evaluating, and iterating on GenAI/Machine Learning models (experience with hill climbing techniques).
  • Experience prioritizing learning and iteration speed, especially in early-stage development (experience beyond building only production-hardened code).
  • Experience in product development.
  • Experience rapid prototyping and experimentation.

About the job

The AI Memory and Context team is a high-impact group within the AI Innovation and Research (AIR) organization, part of Platforms and Devices (P&D). Our mission is to pioneer personalized and private AI memory and context technologies that enable seamless, intelligent cross-device experiences. By building a deep understanding of user intent and behavior, we aim to transform how Google’s platforms—like Pixel, Android, Chrome, and Home—deliver cohesive, proactive, and intelligent assistance.

We operate much like a fast-paced, agile startup within Google, working at the personalization and contextual AI. This requires a "scrappy," adaptable mindset and comfort navigating the inherent ambiguity and evolution typical of early-stage innovation. This is a collaborative effort across Alphabet, including research partnerships with Google DeepMind, Google Research, and Labs, and product integrations across core Google experiences.

As a Software Engineer on this dynamic team, you will play a crucial role in bringing differentiated AI features to life. You will be building systems that understand users holistically through private and personalized memory. You will need to grow on rapid prototyping and iteration to quickly explore new experiences, collaborate closely with leading researchers and product teams, and push the boundaries of what’s possible in AI context modeling. This is a foundational, zero-to-one opportunity to influence core capabilities at the intersection of ML, software engineering, and UX in a constantly evolving space.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $166,000-$244,000 + 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

  • Partner closely with Researchers across Alphabet (Google DeepMind, Google Research, Labs, etc.) to translate concepts into functional AI capabilities for personalized memory and context.
  • Collaborate with Product teams across Platforms and Devices (Chrome, Pixel, Android etc.) to understand evolving product needs and co-create innovative cross-device ecosystem experiences.
  • Embrace ambiguity and proactively identify opportunities, define solutions, and navigate the fluid landscape inherent in a pioneering research and development environment.
  • Ideate, design, and run experiments to develop, evaluate, and improve models, infrastructure, and user experiences, focusing on fast feedback loops.
  • Work closely with cross-functional partners to plan, prioritize, and execute projects in a dynamic setting.

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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.
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