Job description

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 . • 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. • 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. 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.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
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.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
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.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
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.
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.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlllm

Platform: google
Effort: medium