Advance memory and reasoning research at Google DeepMind using machine learning, continual learning, and large-scale experimentation. Publish findings from fundamental artificial intelligence research.

This Research Scientist position focuses on Memory, Reasoning, and Continual Learning. You will develop architectures, test model-based agents, and study non-stationary settings. The work spans long-context attention, Retrieval-Augmented Generation, and complex planning. Research findings will support scientific discovery and product innovation.

Key Responsibilities:
Lead research directions in memory, reasoning, and continual learning
Design end-to-end experiments and test research hypotheses
Develop benchmarks for memory, generalization, and planning
Build infrastructure for context windows and continuous training




Communicate findings through plots, writeups, and papers

Requirements:
PhD or equivalent practical experience in a related technical field
Two years of artificial intelligence research experience with publications
Experience with deep learning, reinforcement learning, NLP, or continual learning
Python and JAX, TensorFlow, or PyTorch experience
Experience designing algorithms, running experiments, and analyzing results

Apply research, experimentation, and publication skills to advance memory, reasoning, and continual learning at Google DeepMind.
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📌 Research Scientist Memory Reasoning Ai Toronto
🏢 Google DeepMind
📍 Toronto