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 Modena, Italy. 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! What you'll get to do: - Conduct in-depth research and experimentation on a wide array of dimensionality reduction techniques, with a particular focus on their applicability to sparse feature matrices commonly produced by semantic engines. This will involve prototyping, implementing, and rigorously evaluating methods such as Principal Component Analysis (PCA), Truncated Singular Value Decomposition (SVD), and neural embedding models (e.g., autoencoders). - Leverage these feature representations to construct and train machine learning models that can effectively address a variety of downstream tasks, such as classification, regression, clustering, or anomaly detection. - 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. - Currently pursuing a Master's or PhD in Computer Science, Mathematics, Computer Engineering, Statistics, or a related field. - Familiarity with machine learning and deep learning methods. - Proficiency in Python and experience with libraries such as NumPy, SciPy, Pandas, PyTorch, and TensorFlow. - Familiarity with SVD, BERT, ViT, or CLIP is a plus. - Experience with Self-Supervised Learning methods is also a plus. About Integral Ad Science 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: