AI Engineer Jobs

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. In this role, you will be responsible for research and developing exploration capabilities in our shared user and personalization models across Search, helping our users discover new interests, preferences or intent; and getting more information needs from Google. 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:

Develop and deploy personalized large language models (LLMs) to empower search and recommendation systems for a variety of applications. Conduct applied research on new LLM techniques for concrete product use cases. Work with collaborating teams (e.g., research, search, discover, shopping, etc.) engineers to integrate LLMs into our products and services. Contribute to the direction and roadmaps of Search and discover personalization and establish the right partnerships and collaborations, including partner product and research teams.

Additional Information:

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

Preferred qualifications: Experience in successfully applying machine learning approaches to real-world personalization problems. Experience with deep learning frameworks such as TFX or TFlex. Experience with building large language models. Knowledge of statistical methods, with strong mathematical skills. Excellent problem-solving and programming skills in Python.