About The Role

We're looking for a research scientist to help design and implement novel memory architectures for continuous learning systems. You'll work at the intersection of cognitive science and machine learning, building systems that can learn, remember, and reason over extended time horizons.

About The Role

We're looking for a research scientist to help design and implement novel memory architectures for continuous learning systems. You'll work at the intersection of cognitive science and machine learning, building systems that can learn, remember, and reason over extended time horizons.

What you'll do
Design and implement hierarchical memory representations (working, episodic, semantic)
Research and prototype surprise‐gated memory consolidation mechanisms
Develop memory‐augmented reasoning systems that improve with use




Publish research and contribute to the broader scientific community
Collaborate with engineering to bring research ideas into production

Requirements
PhD in ML, cognitive science, neuroscience, or related field
Robust publication record in memory systems, continual learning, or related areas
Proficiency in Python and up-to-date ML frameworks (PyTorch preferred)
Experience implementing novel architectures from scratch
Robust mathematical foundations in probability and optimization

Nice to have
Experience with recurrent models and state-space models
Background in computational neuroscience
Familiarity with agent architectures and tool use
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📌 Research Scientist Memory Systems Melbourne
🏢 Engram
📍 Melbourne