Senior Research Scientist
4 weeks ago
We are seeking a highly skilled Research Scientist to join our Machine Learning Theory team at Google. As a Research Scientist, you will conduct theoretical research in areas such as optimization, statistical learning theory, deep learning, online learning, and reinforcement learning. You will design and analyze novel algorithms with provable guarantees and validate their effectiveness through experiments. You will also collaborate with engineers to translate your theoretical insights into practical solutions for Google's products, including Gemini.
Responsibilities- Conduct theoretical research in machine learning theory and related areas.
- Design and analyze novel algorithms with provable guarantees.
- Collaborate with engineers to translate theoretical insights into practical solutions.
- Publish and present findings in conferences and journals.
- Contribute to shaping Google's research agenda.
The Machine Learning Theory team at Google is dedicated to advancing the theoretical foundations of machine learning. Our mission is to address fundamental learning theory problems significant to Google. We aim to foster a principled understanding of machine learning techniques and to leverage this knowledge in designing novel and highly effective algorithms.
What We OfferAs a Research Scientist at Google, you will have the opportunity to work on cutting-edge research projects, collaborate with top researchers and engineers, and contribute to the development of new machine learning algorithms and systems. You will also have access to a wide range of resources and tools, including state-of-the-art computing infrastructure, a diverse and talented team, and a dynamic and supportive work environment.
Requirements- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Experience in theoretical computer science and statistical methods.
- Experience in algorithms and statistical learning.
- 2 years of coding experience in C++ and Python.
- 1 year of experience leading research efforts and influencing other researchers.
- Experience working on large-scale machine learning systems.
- Excellent programming skills and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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