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About the Role
As a Research Scientist, you will setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. You will research, develop, and publish breakthroughs in both algorithm discovery methods and the resulting algorithms themselves, focusing on how advancing Large Language Model (LLM)-related techniques can accelerate the discovery of novel AI algorithms.
Responsibilities
- Carry out sustained exploratory research.
- Apply the results of your research.
- Implement and share research findings with researchers and engineers.
- Review literature, identify key questions, design experiments, and interpret results.
- Collaborate in person and remotely; maintain a respectful work environment.
- Share ideas verbally and in writing; publish and present work at journals or scientific conferences.
Requirements
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- Recent and repeated evidence of independent research, shown through two or more first-authored scientific publications at the main track of the machine learning conferences (NeurIPS, ICML, or ICLR), or of the natural language processing conferences (ACL, NAACL, or EMNLP), published since 2021.
- Recent and repeated evidence of experience in large language model research (LLMs, agents, foundation models, LLM training or fine-tuning, transformers, or strongly related), shown through two or more scientific publications, published since 2021.
- Post-doctoral experience.
- Experience in the use of LLMs in fields of program synthesis, automated code discovery, AutoML, or automated science.
- Experience in training and fine-tuning LLMs.
- Experience in programming with C++.
Skills
- Excellent Python programming expertise, including machine learning Python libraries such as JAX, TensorFlow or PyTorch.
Education Level
- PhD degree in Computer Science, a related field, or equivalent practical experience.
Salary/Compensations
- Canada: $150000 - $153000 (CAD) + 15% bonus target + equity + benefits
- US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Benefits
- 15% bonus target + equity + benefits
About the Company
- Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.
- The Technology & Society organization connects research, people, and ideas across Google and Alphabet to help shape and advance our most ambitious technology innovations and initiatives and their impact on users and society for the better, and responsibly.
- In addition, we also aim to share perspectives, engage, and collaborate with others externally on technology related issues and opportunities for society.