Google Research is building the next generation of intelligent systems for all Google products, focusing on advancing third-party Health AI applications, conducting research, evaluating efficacy, releasing open models, and engaging the developer community.
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++.
- 1 year of experience owning and initiating research agendas.
- Experience in healthcare research.
Responsibilities
- Write research papers to share findings and demonstrate research impact across the team and research 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.
- 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.
- 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.
Other
- Help in growing research business across teams by sharing research trends and practices within the community.
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 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.
