Research Scientist, Paradigms of Intelligence

vor 2 Wochen

Zürich, Schweiz Google Vollzeit

**Minimum qualifications**:

- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publications in top-tier conferences or journals.

**Preferred qualifications**:

- First-authored publications in the fields of machine learning (e.g. ICLR, ICML, NeurIPS) or programming languages theory (e.g. PLDI, ICFP).
- Experience in the field of machine learning.
- Experience in the field of programming languages (e.g. lambda calculus, type theory, combinatory logic).
- Experience in the field of automated code discovery (LLM-based, AutoML, evolutionary, or meta-learning-based).
- Post-doctoral research experience.
- Excellent computer programming skills.

**About the job**:
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

The team you'll be joining conducts basic research into alternative computational AI paradigms beyond those currently trending. We aim to deepen our understanding of how complexity emerges in differentiable/non-differentiable automated algorithm discovery methods. These methods automatically produce computer code that solves given tasks, which are often represented as a collection of data examples. We are particularly interested in finding solutions that exhibit compositionality, hierarchical structures, and component reuse. In this role, you’ll research, develop, and publish findings on novel code representations for discovering such algorithms.

**Responsibilities**:

- Carry out sustained exploratory research.
- 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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