Join to apply for the Research Scientist, Paradigms of Intelligence role at Google.
Overview
Research Scientist, Paradigms of Intelligence. The team 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, which automatically produce computer code that solves given tasks. 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. You’ll set up 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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems spanning machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. You’ll actively contribute to the wider research community by sharing and publishing findings, with ideas inspired by internal projects as well as collaborations with research programs at partner universities and technical institutes worldwide.
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.
Responsibilities
* Carry out sustained exploratory research.
* Review literature, identify key questions, design experiments, and interpret results.
* Collaborate in person and remotely to 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.
Seniority level
* Not Applicable
Employment type
* Full-time
Job function
* Information Technology and Engineering
Industries
* Information Services and Technology, Information and Internet
Referrals increase your chances of interviewing at Google by 2x
#J-18808-Ljbffr