Research Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Research Scientist (AI): Advancing the state of the art in artificial intelligence through scientific discovery and technological innovation with an accent on safety, ethics, and large-scale model development. Focus on designing novel algorithms, conducting rigorous experimental research, and applying machine learning to address complex, high-impact global challenges.
Location: Must be based in Mountain View, California, US
Company
is a world-leading AI research organization dedicated to pushing the boundaries of artificial intelligence to achieve scientific breakthroughs for public benefit.
What you will do
- Conduct original research in machine learning and artificial intelligence to solve complex scientific and technical problems.
- Design, develop, and implement advanced algorithms to advance state-of-the-art models.
- Collaborate with interdisciplinary teams of scientists and engineers to integrate research into high-impact applications.
- Ensure all development adheres to the highest standards of safety, ethics, and alignment.
- Contribute to the broader scientific community through publications, presentations, and open research initiatives.
Requirements
- Must have the right to work in the United States
- Strong background in machine learning, deep learning, or relevant quantitative research fields.
- Proven ability to design and execute independent research projects.
- Proficiency in research-oriented programming languages and frameworks.
- Excellent analytical and problem-solving skills with a focus on algorithmic complexity.
Culture & Benefits
- Access to world-class research infrastructure, data, and compute resources.
- Opportunity to work on high-impact projects with leading global experts in AI.
- Inclusive, diverse work environment that values a broad range of scientific and personal perspectives.
- Comprehensive health insurance, equity packages, and performance-based bonuses.
- Commitment to long-term career growth, continuous learning, and scientific publication.
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