Research Scientist, ML Efficiency, Google Research

Google Inc.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a Research Scientist focusing on machine learning efficiency. This role involves advancing algorithms for generative AI models and innovating architectures. Candidates should possess a PhD in Computer Science or a related field, with proven publication records and experience in AI research. The position offers opportunities for significant contributions to the field and involves collaboration with diverse teams across the organization.

Qualifications

• PhD in Computer Science or a related field.
• One or more publications in notable conferences or journals.
• Experience with AI research in academic or industry settings.

Responsibilities

• Advance algorithms for generative AI models.
• Innovate large language model architectures.
• Collaborate with teams to optimize performance.

Skills

PhD degree in Computer Science

Scientific publication submissions

Experience in AI research

Understanding of transformer architecture

Technical leadership skills

Communication skills

Passion for machine learning

Education

PhD or equivalent practical experience

Job description

Research Scientist, ML Efficiency, Google Research

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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.
• Excellent technical leadership and communication skills to conduct multi‑team cross‑function collaborations.
• Passionate for deep/machine learning, computational statistics, and applied mathematics.

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 set up 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. Google Research Singapore is the very latest addition to the Google Research presence around the globe. As a Research Scientist, you will be making significant breakthroughs towards computational efficiency of large‑scale generative AI models (LLMs, diffusion models, generative videos). Through foundational research, the team will deliver research on algorithmic efficiency, model compression, and inference acceleration, directly impacting how next‑generation AI models will be deployed to billions of people. 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

• Advance algorithms, sampling techniques and large‑scale optimization to make serving and inference of generative AI models more efficient and flexible. This includes model compression, knowledge distillation and quantization strategies.
• Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training deep learning models.
• Improve the end‑to‑end model deployment pipeline that includes entirely 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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