Machine Learning Intern - Summer 2027

Job Title: Machine Learning Intern - Summer 2027 Company: BNP Paribas Job Category: Machine Learning Roles & Responsibilities: Join one of Montreal's Top Employers in 2026\. We are a leading international banking institution fully committed to building a more sustainable future. As an intern, you will benefit from a 4 months program that aims to give you the tools to develop yourself and discover your potential through customized trainings, networking sessions and transversal projects. During the four\-month internship, you will contribute to an applied research project aligned with the Lab’s priorities. These projects explore advanced AI capabilities for our solutions and are designed with the ambition of producing work suitable for a publication at a leading AI conference. Potential topics include agentic AI, AI evaluation, GenAI model specialization, or retrieval\-augmented generation (RAG). BNP Paribas is committed to fostering a work environment where all employees can feel heard, valued, safe and supported, and can be their authentic selves. BNP Paribas, the leading bank in the European Union and a major global financial institution, operates in 63 countries and has nearly 178,000 employees. Its mission is to foster a responsible, sustainable economy by financing and advising clients to the highest ethical standards while addressing environmental, regional development, and social inclusion concerns. With over 1,700 employees in Montreal and Toronto, BNP Paribas in Canada strives to develop long\-term relationships with its clients by supporting their business strategies and meeting their financing and investment needs, both locally and abroad. * BNP Paribas is committed to accessibility and inclusion. During the recruitment process, accommodation needs are available at all times for candidates. You will have the chance to make a request for an accommodation during your application. * You must be legally eligible to work in the Greater Montreal area and, if applicable, hold a valid work or study permit. Physical presence in BNP Paribas’ office(s) is an essential function of this position; * If you are applying and accepted to a position which requires working in/for the U.S. securities industry, you will be required to provide your fingerprints and undergo additional background checks by the FBI. BNP Paribas Securities Corporation is required to maintain a supervisory program over the conduct of its Associated Persons; some of your personal data will be transmitted to the United States of America and made available to US regulators. Please reach out to BNPP for additional information; or you can also find an overview here: 3110\. Supervision FINRA.org Work Location: Montreal, Canada Availability: Full time

BNP Paribas in Canada Students \& Young graduates * Currently enrolled in a Master’s or PhD program at a Canadian university in a quantitative field such as AI/ML, data science, computer science, engineering, operations research, statistics, or applied mathematics. * Strong analytical and problem\-solving skills. * Hands\-on experience contributing to AI projects in Python, gained through internships, professional experience, research, coursework, open\-source contributions, or personal projects. Relevant experience may include: + A portfolio demonstrating projects in agentic AI, generative AI, machine learning, data science, or deep learning. + Experience with generative AI or agentic frameworks, such as LangChain, LangGraph, Agent Development Kit (ADK), or Hugging Face Transformers, or with machine learning frameworks such as scikit\-learn or PyTorch. + Research presented or published at a leading AI conference or in a leading AI journal. * Practical experience with data analysis and visualization tools, including: + At least one data analysis or processing technology, such as pandas, Polars, SQL, Spark, or Dask. + Visualization libraries such as Plotly, Matplotlib, or Seaborn. * Strong written and verbal communication skills in English\. * Strong work ethic and the ability to handle confidential information responsibly. * Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Professional working proficiency in English language is required. While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted Our certifications and partnerships Women in Governance Platinum\-Parity Certification Key Skills: Machine Learning, Python, PyTorch, Pandas Salary: CAD 95750 - 136000 per yearly