Senior Staff Research Scientist, ML Theory

Google is a global technology company building intelligent systems for all its products.
$237,000 - $337,000
Machine Learning
Principal Software Engineer
Contact Company
6+ years of experience
AI

Description For Senior Staff Research Scientist, ML Theory

Google Research is seeking a Senior Staff Research Scientist specializing in ML Theory to join their Learning Theory team. This role is dedicated to advancing the theoretical foundations of machine learning, focusing on fundamental learning theory problems significant to Google. The ideal candidate will have expertise in areas such as learning theory, statistical learning theory, optimization, decision making under uncertainty, reinforcement learning, and general theory and algorithms.

Key responsibilities include:

  1. Conducting groundbreaking theoretical research in areas like optimization, statistical learning theory, deep learning, online learning, and reinforcement learning.
  2. Designing and analyzing novel algorithms with provable guarantees, validating their effectiveness through experiments.
  3. Collaborating with engineers to translate theoretical insights into practical solutions for Google's products, including Gemini.
  4. Publishing and presenting findings in conferences and journals in machine learning, statistics, and optimization.
  5. Staying at the cutting edge of machine learning theory and contributing to shaping Google's research agenda.

The role requires a PhD in Computer Science or a related field, with at least 6 years of experience leading research agendas across multiple teams or projects. Strong programming skills and experience with machine learning frameworks like TensorFlow and PyTorch are preferred.

This position offers an opportunity to work on real-world problems spanning the breadth of computer science, contribute to the wider research community, and make significant impacts on Google's products and the field of machine learning as a whole.

Google Research is building the next generation of intelligent systems for all Google products, collaborating closely with other teams across the company. The work environment is dynamic, adapting to the fast-paced business needs of the world.

Google is committed to diversity, equity, and inclusion, providing equal employment opportunities to all candidates regardless of background. The company offers competitive compensation and benefits, with a base salary range of $237,000-$337,000 plus bonus, equity, and benefits for this full-time position.

Last updated a day ago

Responsibilities For Senior Staff Research Scientist, ML Theory

  • Conduct groundbreaking theoretical research in areas such as optimization, statistical learning theory, deep learning, online learning and reinforcement learning, and other related ML Theory fields
  • Design and analyze novel algorithms with provable guarantees, and validate their effectiveness through experiments
  • Collaborate with engineers to translate your theoretical insights into practical solutions for Google's products, including Gemini
  • Publish and present findings in conferences and journals in machine learning, statistics, and optimization
  • Stay at the cutting edge of machine learning theory and contribute to shaping Google's research agenda

Requirements For Senior Staff Research Scientist, ML Theory

Python
  • PhD degree in Computer Science, a related field, or equivalent practical experience
  • 6 years of experience with research agendas across multiple teams or projects
  • Background in theoretical computer science and statistical methods
  • One or more scientific publication submission(s) for conferences, journals, or public repositories
  • Experience with algorithms, optimization, and statistical learning
  • Experience in theoretical computer science and statistical methods

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