Research Scientist, People and Ai Research

il y a 3 semaines


Paris, France Google Temps plein

Google welcomes people with disabilities.

**Minimum qualifications**:

- PhD in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience.
- Experience writing machine learning code, prototyping with machine learning models and working with transformer models.

**Preferred qualifications**:

- Experience working in an industry or academic research lab, and taking research from concept to products.
- Experience using advanced interpretability methods such as mechanistic interpretability, training data attribution or saliency.
- Experience in research alignment and control of machine learning systems such as few short learning or parameter efficient methods.
- Experience with symbolic computation and problem-complexity such as automated reasoning or complexity theory.
- Ability to contribute in publications related to machine learning problem complexity (e.g., NeurIPS, ICLR, ICML, CHI, EMNLP, ACL).

**About the job**:
People and AI Research (PAIR) is a team in Google Research focused on Human-centered research and design to make AI partnerships productive. Our multidisciplinary team does fundamental research, invents new technology, and creates frameworks for design in order to drive a human-centered approach to AI.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

**Responsibilities**:

- Lead advanced research on small problems and interpretability to develop new algorithm insights for new alignable Machine Learning architectures.
- Write machine learning code in frameworks such as JAX, T5X, TFJS, etc.
- Coordinate research efforts within PAIR and outside, manage objectives and priorities, and drive ambitious and thoughtful research directions towards alignable neural algorithms.
- Present and disseminate research internally and externally by contributing to interactive explorable visualizations (e.g., PAIR explorables), academic papers, and blog posts.

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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