Senior Research Scientist, ML Efficiency, Google Research, Singapore

Google will prioritize applicants who have a current right to work in Singapore and do not require Google's sponsorship of a visa.

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
• One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

• 5 years of experience in driving new research ideas from problem abstraction, designing solutions, experimentation, to productionization in a rapidly shifting landscape.
• Understanding of transformer architecture internals.
• Passion for deep/machine learning, computational statistics, and applied mathematics.
• Excellent technical leadership and communication skills to conduct multi-team cross‑functional collaborations.

• Advance algorithms, sampling techniques and optimization to make serving and inference of generative AI models more efficient and flexible, including model compression, knowledge distillation and quantization strategies.
• Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training learning models.
• Improve the model deployment pipeline that includes new formulations of pretraining, instruction tuning, reinforcement learning, thinking and reasoning.
• Collaborate with Hardware and Software teams to optimize kernels and inference engines across different hardware and model architectures.
• Optimize latency, memory bandwidth, and workloads.

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English proficiency is a requirement for all roles unless stated otherwise in the job posting.