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.

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