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Posted on 16 August 2026
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We are doing research on deep learning research related to memory that would be suitable to extend the knowledge base of neural network for personalization, lifelong learning and handling large contexts. The team covers a broad range of topics, including LLM, text-time training, memory controller, indexing structures.Responsibilities
Conduct research to advance the state of the art in architecture and memory related topics
Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes
Collaborate with different cross-functional teams across the globe in research and product
Minimum Qualifications
PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning, robotics, large language models and/or computer vision
Proven development skills in Deep Learning, working with PyTorch or TensorFlow
Experience developing LLM algorithms or infrastructure in Python or C/C++
Preferred Qualifications
Significant contributions to impactful work such as open-source models
Publications at peer-reviewed conferences, e.g. ICLR, ICML, NeurIPS
About Meta
Meta concentrates its European engineering in Dublin, London and Paris, working on infrastructure, AI and core product. Headcount has been volatile since 2022, so treat the size of the board as a snapshot rather than a trend.