Applied Scientist Intern (Summer 2026)
Coveo(6 days ago)
About this role
An Applied Scientist Intern at Coveo joins the ML Commerce team within Research & Development to advance AI-driven recommendation capabilities for commerce. The role focuses on researching and evaluating modern ML techniques such as embeddings and transformer models to improve product discovery and personalization at scale. The position is part of a 15-week internship designed for Master's students to contribute to and learn from applied ML research in a hybrid environment.
Required Skills
- Machine Learning
- Data Science
- Modeling
- Python
- Scikit-Learn
- PyTorch
- Transformers
- HuggingFace
- Sentence Transformers
- Deep Learning
+6 more
Qualifications
- Master's Degree (in progress)
- Legal Right to Work in Canada (internship duration)
About Coveo
coveo.comCoveo is an AI-driven relevance platform that delivers enterprise search, recommendations, and personalization to power more relevant digital experiences across websites, e‑commerce, and customer service. Its SaaS Relevance Cloud uses machine learning and analytics to optimize search results, surface personalized content and product recommendations, and extract actionable insights from customer interactions. Coveo provides APIs, connectors, and integrations with CRM, CMS, and commerce systems to embed contextual search and recommendations across channels. Organizations use Coveo to boost conversions, improve self‑service, and reduce support costs by delivering timely, personalized results.
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