Research Scientist, Google Research

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 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.

Preferred qualifications:

• 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.

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.

In this role, you will 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.

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

• 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.