Senior Research Scientist, Kaggle

Requirements:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
• Coding experience in Python, JavaScript, R, Java, or C++.

Nice to haves:

• 2 years of coding experience in Python, JavaScript, R, Java, or C++.
• 1 year of experience owning and initiating research agendas.
• Demonstrated expertise in benchmarking, evaluation, and empirical methods.
• Experience with LLMs and GenAI models and methods.

What you'll be doing:

• Work with the Kaggle Competitions team to expand Kaggle's competitions platform to host and run LLM Benchmarks and community evaluations.
• Collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle.
• Contribute to the development and deployment of new research methods and algorithms for AI and ML. Mentor and guide junior engineers on the team.
• Publish research papers and present findings at conferences and workshops. Collaborate with engineering, design, and product leadership to improve Kaggle's product for Research priorities.
• Collaborate with other members of the Kaggle Research team to create the next generation of benchmarking and evaluation methods and structures for AI / ML, with a particular focus on LLMs and generative AI.

Perks and benefits:

• Google is proud to be an equal opportunity and affirmative action employer.
• Work on Kaggle’s Research priorities and help innovate in Kaggle’s leading platform for ML competitions, datasets, and models.
• Establish Kaggle Research as the leader in building earned trust through community validation of AI.
• Collaborate with the Google Cloud AI Research team to address AI challenges in various industries and push the state-of-the-art in AI.