Staff Software Engineer, Model Quality

Build both human-powered and Large Language Model (LLM)-powered automated evaluation systems to assess model performance.Establish clear metrics to measure aspects like grounding, coherence, safety, and helpfulness.Utilize platforms and tools to efficiently run evaluations across different models and datasets.Provide actionable insights from evaluations to improve model quality, often in collaboration with research, and cross-functional teams.Create tools and systems that make the evaluation process more efficient and effective.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.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. As a part of Google Pics, an upcoming AI-powered visual editor seamlessly integrated across Google Workspace to bring Gen-AI photo and design capabilities directly onto the canvas. In this role, you will work with the advanced image-understanding capabilities of GemPix and Gemini to empower users to intuitively edit, transform, and generate images across all Workspace surfaces. In this role, you will be executing against a 2026 roadmap, building on limited testing and consumer experiments ahead of a General Availability (GA) launch in 2026. You will join a team that requires executing at a fast pace against a comprehensive roadmap of model capabilities.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.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.