Machine Learning Intern

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. Our mission is to be the global benchmark for trust and transparency in digital media quality. 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. For more information, visit integralads.com.

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 such as semantic topic modelling, misinformation analysis, and trend detection.

Qualifications

• 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.

Preferred Qualifications

• 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.

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, colour, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of colour, 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

Attention Agency/Third‑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 We will get back to you if there is interest in a partnership.