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Open nowFirst seen 9 hours ago

Research Scientist - Monetization GenAI

Meta1,336 open roles

Where
London, UK
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Your applicationOpen nowResearch Scientist - Monetization GenAIMeta · London, UK

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 9 hours ago

Meta median: 35 days open

The posting

Meta Monetization GenAI is focused on making significant progress in AI-powered content generation for ads applications. In the past two years, generative AI has observed some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI’s mission is to drive innovation in applied generative AI technology and build products that will help businesses become more productive and efficient. The team is particularly focused on image and video ad creative generation.

Responsibilities

  • Lead applied research to advance the science and technology of image/video/text generation for applications in ad creative generation and editing
  • Work towards long-term research goals, while identifying intermediate milestones. Lead efforts in productionization of GenAI technologies in ads domain applications. Influence progress of relevant research communities by producing publications

Minimum Qualifications

  • Currently has, or is in the process of obtaining, a PhD degree in computer vision or machine learning At least 1 publication as the first author, and at least 3 as co-authors on the following 6 venues: NeurIPS, CVPR, ICML, ICLR, ICCV, and ECCV
  • Experience in generative AI research
  • Experience in leading a team of applied research scientists and engineers in solving real world ML problems in industry, in a role with primary emphasis on AI research
  • Experience in developing and debugging in Python

Preferred Qualifications

  • Experience in developing real-world applications using multimodal large language models
  • Experience in developing diffusion models for image/video/text/multimodal generation with publications on this topic on NeurIPS, CVPR, ICML, ICLR, ICCV, or ECCV
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