Staff Software Engineer, Android Agent
About the role
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
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.
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.
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, reinforcement learning, ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
Benefits
- 20% bonus target
- equity
- comprehensive benefits package
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh