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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