Research Scientist, Paradigms of Intelligence

MINIMUM QUALIFICATIONS: * PhD degree in Computer Science, a related field, or equivalent practical experience. * One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). PREFERRED QUALIFICATIONS: * Post-doctoral experience. * Experience in the field of machine learning. * Experience in the training and fine-tuning of LLMs. * Experience in the use of LLMs in fields of program synthesis or automated code discovery. * Excellent computer programming skills. * First-authored or last-authored publications in the field of machine learning at top venues (e.g., ICLR, ICML, NeurIPS). ABOUT THE JOB: As an organization, 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. As a Research Scientist, you'll 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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as 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. 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. Our team conducts basic research into alternative AI paradigms beyond those currently trending. Our goal is to discover novel AI algorithms that can be efficient to run on typical or alternate computing substrates, using a mix of automated, hand-designed, and hybrid methods—specifically focusing on how advancing Large Language Model (LLM)-related techniques can accelerate this process. In this role, you will research, develop, and publish breakthroughs in both algorithm discovery methods and the resulting algorithms themselves. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $150000 - $153000 (CAD) + 15% bonus target + equity + benefits US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. 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.

The Research Scientist will conduct exploratory research, design experiments, and interpret results to develop novel AI algorithms. They are also responsible for collaborating with teams and publishing findings in scientific journals and conferences.

Candidates must hold a PhD in Computer Science or a related field and have a track record of scientific publications. Preferred qualifications include post-doctoral experience and expertise in training and fine-tuning Large Language Models.

• Bonus • Equity • Health Insurance

• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Large Language Models
• Program Synthesis
• Automated Code Discovery
• Computer Programming
• Deep Learning
• Data Mining
• Natural Language Processing
• Hardware Performance Analysis
• Software Performance Analysis
• Compiler Optimization
• Algorithm Discovery
• Experimental Design
• Scientific Research
• Literature Review
• AI Algorithms
• Large Language Modeling
• Research
• Artificial Intelligence
• Algorithms
• Basic Research
• Compilers
• Profiling (Computer Programming)
• Computer Science
• Innovation
• New Product Development
• Natural Language Processing (NLP)
• Prototyping
• Scientific Literature
• Writing

• Science & Research
• Technology
• Software
• Data & Analytics
• Engineering
• Intelligence Research Specialist
• Research Scientist
• Physical and Engineering Science Technicians Not Elsewhere Classified
• Medical Scientists, Except Epidemiologists

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine