AI Research Scientist - Core Learning (Paris) - Tenders Global

AI Research Scientist – Core Learning (Paris)

Meta

tendersglobal.net


21 Feb 2024
Job Information

Organisation/Company
Meta
Research Field
Computer science
Researcher Profile
Recognised Researcher (R2)
Country
France
Application Deadline
21 Mar 2024 – 00:00 (UTC)
Type of Contract
To be defined
Job Status
Full-time
Hours Per Week
To be defined
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. We are looking for exceptional candidates in the field of core learning, with a focus on the intersections between out-of-distribution generalization and large language models. In particular, we are looking for a researcher interested in investigating the role of associative/non-parametric memory for improving the efficiency and generalization abilities of LLMs.

AI Research Scientist – Core Learning (Paris) Responsibilities

  • Conduct and publish world-class research articles on fundamental research on AI
  • Open-sourcing high quality code and reproducible results for the community
  • Mentoring junior scientists, including our interns, PhDs and postdocs

Minimum Qualifications

  • PhD in mathematics, statistics, physics, or computer science
  • Deep knowledge about the state-of-the-art (theory and practice) in ML and AI
  • Proficiency in coding, executing, and evaluating large scale experiments in PyTorch
  • Organizational, team, community, and public skills
  • Publications in venues such as NeurIPS, ICML, ICLR, and JMLR

Preferred Qualifications

  • Open-source code repositories

Requirements
Additional Information
Work Location(s)

Number of offers available
1
Company/Institute
Meta
Country
France
Geofield

Where to apply

Website
https://illbeback.ai/job/ai-research-scientist-core-learning-paris-2/?utm_sourc…

STATUS: EXPIRED

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