Machine Learning Intern

Location: Paris, France

Remote Type: Hybrid

Time Type: Full time

Job Description

Job Description:

Integral Ad Science (IAS) is a leading global media measurement and optimisation platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms — and we’re looking for a Data Science Intern to join our Multimedia Services (Embeddings & Agentic Systems) Team. 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.

As a Data Science Intern, you will work on cutting-edge machine learning projects that power IAS’s next generation of multimodal classification systems. You’ll get hands-on experience with large-scale video, image, text, and audio models; active learning workflows; and high-throughput ML pipelines running in production. This internship is an opportunity to contribute to systems used by major global advertisers, collaborate with experienced data scientists and ML engineers across Dublin, Italy, and the US, and build portfolio-ready work that has real impact. You’ll have the space to experiment, the mentorship to grow, and the ability to ship meaningful improvements that shape IAS’s future AI capabilities.

What you’ll get to do
Build and evaluate machine learning models for multimodal content understanding across video, audio, text, and images.
Develop and analyse models used for model training, active learning, and large-scale evaluation.
Run experiments using modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and document findings clearly.
Contribute to ML pipelines and tooling used for retrieval, embeddings, and automated annotation.
Collaborate with data scientists, ML engineers, and knowledge engineers to test new ideas and improve classification accuracy.
Present results, insights, and recommendations to the broader ML team.
Support ongoing research initiatives in areas like semantic topic modelling, misinformation analysis, and trend detection.

You should apply if you have most of this experience
Currently pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field.
Experience with Python and common data science libraries (NumPy, Pandas, Scikit-learn).
Familiarity with at least one deep learning framework (PyTorch or TensorFlow).
Interest in computer vision, NLP, audio processing, or multimodal modelling.
Ability to work with datasets, run experiments, and explain results clearly.
Curiosity, willingness to learn, and comfort asking questions.
Strong analytical thinking and attention to detail.


What puts you over the top
Experience with embeddings (CLIP, Whisper, BERT, etc.) or vector databases.
Hands-on work with active learning, retrieval, or large-scale ML pipelines.
Prior internship or project experience in applied machine learning.

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.

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].

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.