Job Search and Career Advice Platform

Enable job alerts via email!

Research Scientist: ML Efficiency & Efficient Inference

Google Inc.

Singapore

On-site

SGD 90,000 - 120,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

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
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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.