Temporary position until November 26th 2026

About Mila  

Founded by Professor Yoshua Bengio of the Université de Montréal, Mila brings together researchers specializing in artificial intelligence, and more specifically in machine learning, deep learning and reinforcement learning. Recognized worldwide for its important contributions to the field of deep learning, Mila has particularly distinguished itself in language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Université de Montréal and McGill University, in close collaboration with Polytechnique Montréal and HEC Montréal. 

Mila's mission is to be a global hub of scientific advances that inspires innovation and the rise of artificial intelligence (AI) for the benefit of all.

Job description

Misinformation is a critical societal challenge, especially as we enter the generative AI era. As part of the Complex Data Lab’s Misinformation Mitigation team, the candidate will lead development of misinformation mitigation systems. They will work with professors Reihaneh Rabbany and Jean-François Godbout, lead researcher Dorsaf Sallami, and numerous others on the team (15+ researchers), taking approaches developed in our research towards real world testing and actualization. 

In this role, the candidate will act primarily as a software engineer, playing a key role in maintaining, scaling, and improving  a web app that uses our AI systems to help users better evaluate information veracity. This platform helps users assess uncertain or potentially misleading information, use LLMs and other AI tools to evaluate the input and collect evidence, then provide the user with that evaluation in an understandable and practical form. The developer will maintain, extend, and improve the existing backend and frontend systems and deployment infrastructure that support the web application and related tools, including browser extension. These systems will be tested in societally important contexts like upcoming elections, and improved upon, with the eventual aim of mitigating misinformation at scale and greatly helping people make more informed judgments.

Main responsibilities

• Design, implement,  maintain, and scale the backend systems powering the platform, combining research results and deployment-ready frameworks.
• Own backend infrastructure and deployment workflows, including GCP, PostgreSQL, environment configuration, and production reliability.
• Support and improve existing frontend deployments and integrations.
• Maintain data pipelines and storage. Advise on overall design, such as feasibility and efficacy of different approaches, cost estimates, and alternatives where needed.
• Advise student researchers on best practices and help with experiments that demand substantial engineering.