Research Scientist, Multi-agent Applications Systems
vor 4 Monaten
**Minimum qualifications**:
- PhD in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications**:
- 2 years of coding experience.
- 1 year of experience leading research efforts and influencing other researchers.
- Experience in a multidisciplinary academic group.
- Track record of publications in machine learning venues such as NeurIPS, ICLR, ICML, ACL.
**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.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
**Responsibilities**:
- Author research papers to share and generate impact of research results across the team and in the research community.
- Help in growing research business across teams by sharing research trends and best practices within the community.
- Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under mínimal guidance. Identify timelines and obtain resources needed.
- Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under mínimal guidance.
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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