Research Scientist, ML Efficiency, Google Research

Research Scientist, ML Efficiency, Google Research

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Google will be prioritizing 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.
• One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• Experience in a university or industry labs, with primary emphasis on AI research.
• Understanding of transformer architecture internals.
• Ability to drive new research ideas from problem abstraction, designing solution, experimentation, to productionisation in a rapidly shifting landscape.
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