Staff Software Engineer, Android Agent

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer for Android Agent to design and optimize machine learning systems powering the next generation of on-device AI features.

The role emphasizes translating user needs into ML problems, building robust data pipelines, and leading model training efforts with strong focus on privacy and performance. Google values leadership and cross-functional collaboration across teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with one or more ML areas (speech/audio, RL, ML infra)
• 5 years of ML design and ML infra (deployment, evaluation, data processing, debugging, fine-tuning)
• 5 years of experience testing and launching software products, and 3 years with software design/architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Design, build, and optimize end-to-end ML systems that power Android agent.
• Translate user needs into well-defined ML problems and solutions.
• Architect robust data pipelines for large datasets used for training/fine-tuning.
• Lead development, training, and improvement of ML models with focus on on-device performance and privacy.
• Establish evaluation frameworks to measure model quality, ensuring reliable AI features.

Education

Bachelor's degree or equivalent practical experience

Tools

ML infrastructure

ML design

data processing

model deployment

Job description

Staff Software Engineer, Android Agent

Corporate Location: Mountain View, CA, USA

Experience Level: Advanced

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 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 decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Preferred qualifications

• Master's degree or PhD in Engineering, Computer Science, or a 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.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary Range: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, build, and optimize the end-to-end machine learning systems and models that power Android's next-generation AI agent.
• Translate ambiguous user needs and product goals for agentic AI into well-defined technical problems and innovative ML solutions.
• Architect and implement robust data pipelines for collecting, cleaning, and processing the massive datasets required for training and fine-tuning ML models.
• Lead the development, training, and continuous improvement of core machine learning models, with a focus on on-device performance and user privacy.
• Establish and own the evaluation frameworks to rigorously measure model quality, ensuring our AI features are reliable, helpful, and personalized.

Privacy Notice:

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.

Equity

Equity is granted exclusively and discretionarily by Alphabet Inc. based on an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner regarding 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 convey an acquired right.