Research Scientist, AI Research (PhD)

Meta • Advertising • Virtual & Augmented Reality • Doctoral Degree (PhD) • Python • C++ • 9 months ago
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Salary
≈ $84k – $178k per year (Estimated)
Location
In office (Paris)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jan 30, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Meta

Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
meta.com • HQ: Menlo Park, United States • Digital Media • Foundation Models • Advertising • Virtual & Augmented Reality • Consumer Internet Groups • Messaging Apps • Social Networks • 5000+ employees • Est. 2004
Tech stack of Meta
Backed by SV Angel, Valueaddvc, VCSheet
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

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++ Significant contributions to impactful work such as open-source models Publications at peer-reviewed conferences, e.g. ICLR, ICML, NeurIPS

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