The Research Scientist role at Google focuses on developing resource-efficient architectures and model training techniques to enhance machine learning models. The team aims to push the boundaries of model efficiency, enabling Google's models to run effectively across large server-side deployments. As a Research Scientist, you will engage in independent research, collaborate with team members, and contribute to the broader research community. The position requires a strong background in machine learning and a commitment to scientific excellence.

• PhD degree in Computer Science or a related field, or equivalent practical experience.
• Experience in machine learning and artificial intelligence, supported by a publication record in conferences such as NeurIPS, ICML, ICLR, or CVPR.
• Proficiency in Python and modern machine learning frameworks like JAX and PyTorch.
• Experience in writing model training and inference pipelines.

• Propose and drive independent research directions while managing a strong research agenda.
• Collaborate closely with team members and cross-organization partners to refine ideas.
• Translate research ideas into experiments quickly and evaluate model efficiency.
• Regularly communicate research results to the team and seek feedback.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.