Mariya I. Vasileva
Mariya I. Vasileva
Senior Research Scientist, Meta Superintelligence Labs, Facebook
Joined
July 2019
Names
Emails
****@illinois.edu (Confirmed)
****@gmail.com (Confirmed)
****@amazon.com (Confirmed)
****@meta.com (Confirmed)
Personal Links
Career & Education History
Senior Research Scientist
Meta Superintelligence Labs, Facebook (meta.com)
2025 – Present
Head of Research
Kaiber (kaiber.ai)
2023 – 2023
Applied Scientist
AWS (amazon.com)
2020 – 2023
PhD student
University of Illinois, Urbana Champaign (illinois.edu)
2016 – 2020
Undergrad student
California Institute of Technology (caltech.edu)
2009 – 2013
Advisors, Relations & Conflicts
Expertise
Mechanistic interpretability
2025 – Present
LLM-as-a-judge systems
2025 – Present
Scalable oversight
2024 – Present
Agentic systems
2024 – Present
Foundation and frontier model scaled evaluations
2024 – Present
Video understanding and analysis
2023 – Present
Video generation
2023 – Present
Image-to-video generation
2023 – Present
Text-to-video generation
2023 – Present
Text-to-image generation
2023 – Present
Temporal consistency and motion representation
2023 – Present
Diffusion models
2022 – Present
AI Safety
, Trust & Alignment
2022 – Present
Multimodal safety and robustness
2022 – Present
Robustness
, accountability and transparency
2021 – Present
Active learning
, human-in-the-loop
2021 – Present
Fairness
2020 – Present
Foundation model posttraining
2020 – Present
Contrastive learning
2018 – Present
Interpretability of black-box models
2018 – Present
Explainability
2017 – Present
Visual search and retrieval
2017 – Present
AI for fashion applications
2017 – Present
Generative models
2017 – Present
Vision and language models
2017 – Present
Transformer models
2017 – Present
Semi-supervised and unsupervised learning
2016 – Present
Multimodal understanding and generation
2016 – Present
Self-supervised learning
2016 – Present
Few-shot and zero-shot learning
2015 – Present
Few- and zero-shot learning
2015 – Present
Machine learning
2014 – Present
Representation learning
2014 – Present
Deep learning
2014 – Present
Embedding methods
2014 – Present
Metric learning
2014 – Present
Computer vision
2012 – Present