Research Scientist, Memory, Reasoning and Continual Learning

Highlights

• Lead novel research on long-context memory, reasoning and continual learning.
• Advance RAG, long-context attention and multi-step reasoning frameworks.
• Publish groundbreaking findings with DeepMind's interdisciplinary AI teams.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

Curious, first-principles researcher with deep AI research background who is driven to solve long-horizon memory and reasoning and share findings openly.

Requirements

• PhD in Computer Science, Machine Learning, Mathematics, Cognitive Science, or related technical field or equivalent practical experience
• 2 years of experience in artificial intelligence research, including publications in conferences or journals (e.g., NeurIPS, ICML, ICLR)
• Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning
• Experience in Python and deep learning framework (e.g., JAX, TensorFlow, PyTorch)
• Experience in algorithms design, running experiments, and analyzing results