Chercheur scientifique, paradigmes de l'intelligence
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Key skills for this role
About the Role
Google is hiring a Research Scientist to conduct fundamental research on alternative AI paradigms beyond current trends. You will design experiments, publish findings, and collaborate with a global research community.
Key Skills for This Role
Responsibilities
- Conduct sustained exploratory research
- Review literature, determine 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 in journals or conferences
Requirements
- PhD in Computer Science or related technical discipline, or equivalent practical experience
- At least one scientific publication in conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR)
- Experience in machine learning
- Experience training and optimizing large language models
- Experience using large language models in program synthesis or automated code discovery
- Excellent computer programming skills
- First or last author publications in top machine learning conferences (ICLR, ICML, NeurIPS)
Full Job Posting
About This Job
- Google maintains a portfolio of research projects focused on fundamental research, product innovation, and infrastructure goals.
- As a Research Scientist, you will set up large scale tests and deploy promising ideas quickly and broadly.
- You will work on concrete problems across computer science, including machine learning, deep learning, data mining, NLP, and more.
Responsibilities
- Conduct sustained exploratory research.
- Review literature, determine 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 in journals or conferences.
Minimum Qualifications
- PhD in Computer Science or related technical discipline, or equivalent practical experience.
- At least one scientific publication in conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).
Preferred Qualifications
- Postdoctoral experience.
- Experience in machine learning.
- Experience training and optimizing large language models.
- Experience using large language models in program synthesis or automated code discovery.
- Excellent computer programming skills.
- First or last author publications in top machine learning conferences (ICLR, ICML, NeurIPS).
Compensation
- Canadian base salary: CAD 150,000 154,000 + 15% bonus target + equity + benefits.
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