Machine Learning Intern (ML Commerce), Summer 2025

Key Skills

Planning and organization, Azure, Scala Programming, Machine learning techniques, Jupyter Notebook, Continuous Integration & Continuous Delivery - CI/CD, AWS Sagemaker

Job Description

Join our Service AI team and contribute directly to innovative projects that transform how data is contextualized and utilized. Your mission: enhance semantic segmentation methods, optimize responses, and improve information generation through cutting-edge algorithms.

As an intern, you will work on concrete solutions to improve our existing document chunking algorithm by incorporating additional contextualization of text chunks to improve semantic retrieval and answer generation. You will also tackle challenges like managing contradictory or redundant information to enhance the accuracy and relevance of results and preserving essential elements in documents such as tables, lists and links.

Here's what you will do:

• Define the hypotheses and research questions of the project with the support of your Coveo supervisor.
• Perform the experiment design, acceptance criteria and prioritization of the experiments linked to the project, in collaboration with your internal supervisor.
• Follow the defined applied science practices defined internally in our team.
• Produce experiment journals and promote discussion of obtained results and observations.
• Iterate on findings and propose next steps on every iteration with the collaboration of your manager.

Here's what will qualify you for the role:

• You are currently pursuing a professional master’s degree with a focus in machine learning.
• You have experience in machine learning or data science, with a focus on modeling.
• You are proficient in Python and familiar with modern ML libraries (scikit-learn, PyTorch, HuggingFace Transformers, Sentence Transformers).
• You possess strong analytical skills, scientific rigor, and a thirst for learning.

Here’s what will make you stand out:

• You have experience in Natural Language Processing (NLP) projects, particularly in information retrieval, semantic similarity, large language models (LLMs) and retrieval-augmented generation (RAG) applications.

You don’t need to check every single box; passion goes a long way and we appreciate that skills are transferable.

Send us your application, we want to hear from you!