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Meta AI (FAIR)
Data Scientist
June 26, 2026 – Present
bck.tamirhazan.github.io
June 30, 2023 – June 30, 2023
bck.tamirhazan.github.io — GitHub repository
View ProjectINTERSPEECH-2023-24-Papers
June 26, 2023 – December 25, 2024
INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
View ProjectAudioToken
May 22, 2023 – Present
[InterSpeech 2023] The official PyTorch implementation of: "AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation"
View Projectperceptual-score
October 23, 2021 – September 4, 2022
perceptual-score — GitHub repository
View Projectremoving-bias-in-multi-modal-classifiers
October 20, 2020 – January 5, 2021
removing-bias-in-multi-modal-classifiers — GitHub repository
View Projectitaigat_old.github.io
September 17, 2020 – December 2, 2021
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
View Projectpytorch-template
September 8, 2020 – April 21, 2021
In this project, we provide a strong template for a PyTorch project. The purpose of this repository is to provide an example (and strong utils on the way) for a deep learning project using PyTorch.
View ProjectDependencyParser
January 3, 2019 – July 4, 2020
Classifier for language parse trees based on [McDonald et al. 2005]
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic research and personal repositories, primarily in speech and language processing. While this demonstrates deep technical interest, the diversity of projects and technologies outside this niche is limited. The target role is 'Data Scientist', which can encompass a broader range of skills beyond pure research. The current experience at Meta AI (FAIR) as a Data Scientist is listed as starting in 2026 with no end date, which is unusual and suggests a future or placeholder entry, making it difficult to assess current cultural fit or practical industry experience. The lack of diverse project types (e.g., production systems, data pipelines, business intelligence) suggests a potential gap in broader data science applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.