Google Research is building the next generation of intelligent systems for all Google products, aiming to develop AI tools to advance third-party Health AI applications, conduct research, evaluate efficacy, release open models and engage the developer community through publications and events.
Requirements
- Experience in coding with Python , JavaScript, R, Java, or C++.
- Experience in generative AI training, Large Language Models and evaluation.
- Publications in AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, CVPR.
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- Experience in healthcare research.
Responsibilities
- Write research papers to share findings and demonstrate research impact across the team and research community.
- Help in growing research business across teams by sharing research trends and practices within the community.
- Develop prototypes or run simulations to assess research impact, finalize hypotheses and refine methodologies under guidance.
- Build end-to-end health-focused AI models including pre-training and post-training.
- Evaluate AI models on relevant clinical tasks using both automated and human-based assessments.
Other
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 1 year of experience owning and initiating research agendas.
- 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.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.