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Integral Ad Science

Machine Learning Scientist Intern

Posted 3 Days Ago
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Hybrid
Dublin
Internship
Easy Apply
Hybrid
Dublin
Internship
The internship focuses on exploring Video Language Models to enhance brand safety and suitability classification within the GARM framework. Responsibilities include understanding GARM, investigating VLM architectures, benchmarking performance, and addressing challenges related to VLM deployment.
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Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we’re looking for a Machine Learning Scientist (ML) Intern to join our Multimedia Core Service team in Dublin, Ireland. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data-points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a ML Scientist Intern you will work on pushing the state of the art of our current Machine Learning systems focused on Video, Image, Audio and Text understanding. You will prototype, implement and evaluate deep learning methods including self-supervised methods, out-of-distribution (OOD) detection, metric learning, multimodality (vision, text and audio) and any other relevant strategies. This internship is an opportunity for you to gain practical experience with deep learning, interacting with large scale production environments and having the opportunity to research novel methods that can push the state of the art of media understanding and content evaluation.

What you’ll get to do:

  • Prototype, implement and evaluate machine learning methods for videos. Main focus would be on self-supervised and multimodality methods but other approaches are possible.
  • Conduct research and experiments to improve the accuracy and efficiency of the models.
  • Work with the framework of your choice, e.g. PyTorch, TensorFlow, etc.
  • Integrate machine learning models into production systems.
  • Stay up-to-date with the latest advancements in the field of machine learning and contribute to knowledge sharing within the team.

You should apply if you have most of this experience: 

  • Currently pursuing a Master's or a PhD degree in Computer Science, Mathematics, Computer Engineering, Electrical Engineering, or a related field.
  • Familiarity with machine learning and deep learning methods for one (or more) modality: vision, text, audio.
  • Programming skills with languages such as Python and familiarity with libraries like NumPy, SciPy, Pandas, PyTorch and TensorFlow.
  • Familiarity with at least one of the following methods: CNNs, ViT, LLMs, BeRT, Whisper, CLIP.
  • Experience with Self-Supervised Learning methods is preferred. 

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

To learn more about us, please visit http://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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Top Skills

Machine Learning

Integral Ad Science London, England Office

Integral Ad Science London Office

101, New Cavendish Street, London, United Kingdom, W1W 6XH

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