Software Engineer III, Kaggle, AI/Machine Learning

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.

Shape the future of empirical validation for Artificial Intelligence (AI) and Machine Learning (ML) at massive scale at Kaggle. As a member of the new Kaggle Research team, a combined team of research scientists and engineers. You will work on Kaggle’s Research priorities, help innovate in Kaggle’s leading platform for ML competitions, datasets and models, and establish Kaggle Research as the leader in building earned trust through community validation of AI.

Kaggle partners with organizations around the world to bring the most interesting and important problems from all domains and disciplines to our community. Google's goal is to activate our community to create the knowledge and resources the world needs to build AI responsibly and effectively.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.