Software Engineer III, Generative AI/ML, NotebookLM

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more general purpose programming languages (e.g., Python, C++, Java, Kotlin), including experience with data structures or algorithms.
• 2 years of experience applying machine learning algorithms and tools (e.g., TensorFlow, PyTorch), with a focus on artificial intelligence, deep learning, or natural language processing.
• Experience with Large Language Models (LLMs), Natural Language Processing (NLP), or other Generative AI technologies in a practical application.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Machine Learning, AI, or a related technical field with Generative AI focus.
• Experience developing accessible technologies and applying design principles in AI products.
• Experience developing and implementing comprehensive AI model quality evaluation frameworks, including HITL and automated metrics.
• Experience designing, developing, and deploying large-scale ML systems, specifically Generative AI models (e.g., LLMs, diffusion models).
• Ability to lead technical initiatives and influence product direction in fast-moving, innovative environments, particularly for AI quality and UX.

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.

Our team is at the forefront of leveraging generative AI to transform information consumption and creation. We work with Google DeepMind and cross-functional partners across Google Labs to bring AI to life.

As a Software Engineer, you will be instrumental in ensuring the quality and performance of our innovative AI features that are directly shaping the future of learning and content creation.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

The US base salary range for this full-time position is $141,000-$202,000 + 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.

• Drive the technical design and implementation of Generative AI features and systems with a focus on product quality within NotebookLM.
• Lead the development and deployment of robust human and auto-rater based evaluation systems to define and measure GenAI product quality and improvements.
• Collaborate closely with Google DeepMind and cross-functional partners to translate complex product requirements into actionable technical designs and plans.
• Write high-quality, production-ready code in Python, C++, Java, or Kotlin, ensuring the scalability, reliability, and performance of GenAI-powered features.
• Take end-to-end ownership of key technical areas, from leveraging foundation models to solving complex problems and delivering impactful solutions for understanding and creating information.