Research Engineer - FAIR, SGT

Meta • Advertising • Virtual & Augmented Reality • Master's Degree • 6 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 17, 2026. First seen by Alion on Apr 6, 2026. Meta scores B on the Alion truth index.

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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
Meta's Fundamental AI Research (FAIR) organization is seeking a Research Engineer to drive advancements in large language models. The role involves working across the full spectrum of research, engineering, optimization, and deployment for both product and frontier model efforts.

Responsibilities

Innovate, lead, and execute pioneering algorithmic research to push the state-of-the-art in generative models and LLM performance Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results Collaborate with cross-functional teams (research, product, infra) to build new and advance LLM optimization Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews Lead initiatives, provide technical guidance and mentorship to peers, and help onboard new team members Contribute to publications, open-sourcing initiatives, and mentor other team members

Qualifications

Masters-level education in computer science Experience in building LLM systems efficiently and at scale PhD in a relevant technical field, or equivalent practical experience Publications in top-tier venues such as NeurIPS, ICML, ICLR

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