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Machine Learning Intern (Service AI), Summer 2025
- Montreal (Province of Quebec, Canada)
- Machine Learning
- Intern
- Hybrid
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Kick-start your AI career with us!
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!
Join the Coveolife!
We encourage all candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
Absolutely! This is a question women and under-represented groups ask themselves more often than the rest of the population. Don't underestimate yourself, we are not looking for someone perfect but for someone who is motivated, capable and who will thrive in this position. Allow us to discover you!
Coveo is a Quebec-based company, pioneer in AI-powered search and recommendations. Coveo uses AI technologies and intelligent search to personalize every digital experience for customers, partners, dealers, and employees. Coveo combines unified content, unified interactions behavioral data and machine learning to deliver relevant information and recommendations across every business interaction, making websites, e-commerce, contact centers and intranets efficient, effortless, content-rich, thus boosting conversion.
If it were easy, someone else would have done it. All of our colleagues at Coveo find the drive to continuously seek new challenges and test roads no one else has ever explored. This ethos has allowed us to become a world leader in an innovative industry and to create a collaborative, diverse and trusting place to work filled with amazingly talented and passionate people. We love a good challenge, and we never say no to an opportunity to learn and develop new cutting-edge skills. Discover our values here
In-person
This role requires you to be in the office full-time, whether it be at our Quebec, Montreal, Weert, or London locations. Our modern infrastructures are designed to enhance cross-team collaboration and promote overall well-being.
Hybrid
Our offices in Quebec City, Montreal, London and Weert are designed to foster collaboration and your well-being. We gather there on our pillar days two times a week to strengthen in-person interactions and encourage creativity, all while providing you with the flexibility of a hybrid environment.
Remote
We hire from all over the world because the diversity of backgrounds fuels our continuous innovation. Our benefits will enable you to work comfortably from home, but you may be required to travel to attend our in-person team-building events.
