Advance agentic AI safety research at Amii through rigorous evaluations and applied machine learning expertise. Edmonton-based work supports safer autonomous systems.
As an Applied Research Scientist, you will investigate risks in increasingly autonomous AI systems. You will develop evaluation methods, research experiments, and practical approaches addressing reliability, robustness, and oversight. The work includes agentic AI, machine learning systems, and AI safety priorities.
Key Responsibilities: Lead Trust and Safety research proposals focused on agentic AI
Develop evaluation pipelines, experiments, benchmarks, and testing environments
Translate findings into practical tools, frameworks, and methodologies
Publish papers, whitepapers, and scientific research outputs




Mentor researchers and collaborate across teams and institutions
Requirements: Ph.D. in machine learning, artificial intelligence, computer science, or related field
Two-plus years of post-Ph.D. applied research experience
Experience evaluating machine learning systems and producing research outputs
Familiarity with agentic AI, LLM agents, tool use, and autonomy
Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
Apply your research leadership, evaluation expertise, and machine learning knowledge to Amii’s agentic AI safety program.

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📌 Agentic AI Safety Research Scientist (Alberta)
🏢 Amii
📍 Alberta