Research Intern – AI Safety

Mila - Quebec Artificial Intelligence Institute

. Increase the impact of cutting-edge machine learning research by collaborating with researchers and the Mila AI Safety Studio.

Posted 10/3/2026contractMontreal • CanadaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI research with a focus on safety, including the design and implementation of safety guardrails and harm-detection methods. Proficient in collaborating with multidisciplinary teams and communicating complex concepts effectively.

Highest-signal resume keywords

Research Experience In AIPhD In Computer ScienceAdvanced Proficiency In PythonAgile Software DevelopmentScientific Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ResearchSafety Guardrails DesignDynamic BenchmarkingRed-Teaming SimulationsAutomated Evaluation MethodsModel Training OptimizationInference Process Optimization

Soft Skills

Scientific CuriosityEffective CollaborationCommunication Skills

Tools & Technologies

Mila AI Safety StudioMila Compute Cluster

Industry Keywords

AI SafetyApplied ResearchTechnical DocumentationUser Feedback Integration

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Increase the impact of cutting-edge machine learning research by collaborating with researchers and the Mila AI Safety Studio.
Design and implement safety guardrails in the public safety domain.
Develop dynamic benchmarking, red-teaming simulations, harm-detection guardrails, and automated evaluation methods.
Collaborate with the Mila compute cluster team to use computing infrastructure efficiently.
Create rigorous internal technical documentation.
Document and write a scientific manuscript on the Mila Safety Studio’s work.
Collaborate with product managers to understand the requirements needed to design experiments.
Work with researchers to select, evaluate, and integrate appropriate AI technologies.
Identify applied research opportunities arising from prototypes and user feedback.
Optimize research, model training, and inference processes.

Requirements

What you’ll need

Research experience in AI, with multiple publications at major conferences such as NeurIPS, ICML, or ICLR.
Strong scientific curiosity about applied research in AI safety.
Excellent ability to communicate complex scientific concepts to people with varying levels of scientific knowledge.
Ability to collaborate effectively with multidisciplinary teams.
Experience with agile software development and product management.
PhD in computer science, data science, or a related field.
Advanced proficiency in Python.

Benefits

Comp & perks

Strong publication potential
Encouragement to publish contributions in peer-reviewed conferences or papers
Opportunity to contribute to the responsible adoption of AI to solve important societal problems