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AI Job Summary

Design and scale multimodal image and video understanding for large language models, balancing research prototyping with production deployment. You'll drive end-to-end experimental workflows across pre-training and post-training, build data pipelines and evaluation benchmarks, and partner with researchers and engineers. Requires a PhD in Computer Science or equivalent, two years leading research agendas, two years in applied research, software engineering experience, and AI/ML expertise.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Bring a combination of engineering and research expertise to advance Gemini's multimodal understanding and generation capabilities.
  • Design, implement, and scale state-of-the-art Large Language Models (LLM's) core image/video understanding capabilities.
  • Drive end-to-end experimental workflows across pre-training and post-training.
  • Build robust, scalable infra and data pipelines to support high-quality multimodal training and eval benchmarks.
  • Partner closely with Research Scientists and Software engineers (SWEs) to transition cutting-edge research prototypes into production-ready foundation models, striking the right balance between rapid prototyping, maintainability, and generality.

Minimum qualifications:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda and influencing other researchers.
  • 2 years of experience in an applied research setting.
  • Experience in software engineering, including coding, code reviews, design discussions and reviews.
  • Experience in Artificial Intelligence or Machine Learning.

Preferred qualifications:

  • Experience with the GenAI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision).
  • A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.
  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda and influencing other researchers.
  • 2 years of experience in an applied research setting.
  • Experience in software engineering, including coding, code reviews, design discussions and reviews.
  • Experience in Artificial Intelligence or Machine Learning.
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  • Role Research Scientist, Gemini Vision, DeepMind
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

206K – 369K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 42 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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