Team

Former founding machine-learning researcher at Morphic, where he led work on video-generation models.

Former Meta research scientist whose work focuses on self-supervised visual learning and world-model architectures.

An assistant professor at Imperial College London, a former Meta researcher, and a founding member of technical staff at AMI Labs.

A former Meta research scientist specializing in generative video, computer vision and multimodal representation learning.

Recent Stanford graduate with background in robotics and multimodal AI.

Basile Terver is a rising French AI researcher and PhD candidate working with Yann Le Cun at Inria and AMI, bridging elite scientific training with deep connections across the French intellectual ecosystem.

AI researcher building spatially intelligent agents, best known for the Depth Anything series advancing human-level machine perception.

Previously at Meta, where he helped develop major speech, audio, and multimodal foundation models, including SAM Audio, MovieGen Audio, AudioBox, VoiceBox, and MMS.

Former Staff Research Scientist at ByteDance (Seed Multimodal & World Model team). Co-author of LLaVA-NeXT, LLaVA-OneVision, LLaVA-Video. Former Microsoft Research.

Senior Research Scientist specializing in machine learning and deep learning.

Veteran engineering leader and VP of Engineering at AMI Labs, with a track record of scaling high-impact technology platforms across Meta, Amadeus, and American Express.

I joined AMI Labs as a founding member of the NYC lab! I'm super excited to build AI systems that truly understand the real world.

Working on VL-JEPA and vision-language world modeling. Former Visiting Researcher at Meta Paris. PhD student at HKUST (ECE).

Author and software engineer known for building large-scale developer infrastructure at Databricks and Dropbox.

Computer vision and multimodal AI researcher focused on advancing spatial intelligence and reasoning in next-generation large-scale multimodal models.

Research engineer building large-scale multimodal AI systems and world models.

Silver Professor of Computer Science, Data Science and Mathematics at New York University’s Courant Institute and Center for Data Science.

Former OpenAI researcher. Postdoc at Meta FAIR NY. Co-founder of Lightelligence. PhD in Physics from MIT. Gold Medal IPhO. Forbes 30 Under 30.

Member of the technical staff at AMI, working on world models. Prior to AMI, was a research engineer in the FAIR team at Meta, where he worked on fastMRI, neural compression, and JEPA.

Meta FAIR-trained computer scientist whose work spans artificial intelligence, machine learning and advanced research systems.

Former Principal Research Scientist at Sea (Singapore). Postdoc at Mila. PhD from NUS. BS in Biology from Peking University.

AI research engineer specializing in large-scale self-supervised learning and video generation, with prior leadership experience in financial software engineering and distributed systems.

Former Meta FAIR research scientist specializing in self-supervised learning, computer vision and world models.

A postdoctoral researcher at AMI Labs developing world models for robotics, with expertise spanning machine learning, differentiable optimization, computer vision and physical simulation.

Former Meta AI researcher whose work spans computer vision, multimodal learning, and advanced generative AI systems.

Former Google DeepMind Senior Research Scientist (Seattle). Faculty Fellow at NYU. Research internships at Meta & Adobe. PhD from KAIST.

Former Meta FAIR Staff Research Scientist whose work has contributed to major advances in visual grounding and image segmentation, including SAM 2 and SAM 3.

A second-year PhD student at ISIR, Sorbonne Université, who spent the first year and a half of his PhD at Meta (FAIR), working on world models and high-level planning, and is now continuing and finishing his PhD at AMILabs.

Former Meta & Google Research Scientist. PhD from UT Austin. ACM ICPC Asia Regional Gold Medal.

Machine learning researcher and systems engineer specializing in scaling AI from theory to real-world, production-grade applications across large technology platforms.

Specializing in world models, multimodal learning and video foundation models, following research roles at ByteDance, Meta and Amazon.

Building strategic partnerships with key industrial players, helping to bring AMI's work on World Models into the real world.

Building IT Infra & Ops

French entrepreneur and operator currently serving as Chief of Staff to the CEO at AMI.

People and culture leader helping AMI Labs build and scale its global team, following senior executive roles at Oyster, ClickHouse, Elastic, and Asurion.

Founding team, Office of Yann LeCun. Former Executive Administrative Partner at Meta AI (supported LeCun & Léon Bottou). BS Business from Boston University.

Bringing more than a decade of experience recruiting specialized AI, machine-learning, and technical talent for companies including Google, Snowflake, and Moonvalley.