Staff Software Engineer, AI/ML, Safe Search

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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Make choices on when to leverage new Large Language Model (LLM) tech (and how) versus using existing processes to architect AI Raters and safety models across Google products.
• Partner with teams across Search, bridging the gap between Engineering, Product Management, and Policy.
• Improve evaluations (evals) and measurement systems, running experiments, ensuring that Search launches continue to remain effective and protecting Search safety against regressions.
• Guide prototyping, in-depth evaluations, and launches of changes that proactively make Search safer - ranging from ranking improvements to better AI-generated responses.
• Define model behaviors and safety protections within the core Search stack.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 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).
• Experience in Python programming.

Preferred qualifications:

• Experience in prompt engineering and applying Large Language Models for data labeling.
• Experience with building classifiers, machine learning, AI, ranking, and research.
• Experience coding in C++ or Kotlin.
• Experience in Trust and Safety or Search Quality.