Research Scientist and Manager at @MetaAI (FAIR). My research focuses on Lifelong Learning for Robotics.
California, USA
Joined January 2019
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Franziska Meier retweeted
I'm looking to hire a great infra or devops engineer who cares deeply about research productivity + team velocity. Think dev containers, fast build systems for monorepos. The metric of success is how fast a new joiner can ship a new feature to our prod robot fleet, or how fast someone can land a new research idea.
OK if you're unfamiliar with robotics + AI, we will teach you! Robotics is one of the most exciting spaces to be working in, and you can help us ship our research & product at even faster speeds.
Franziska Meier retweeted
On #ICML2025 16 Jul, 11 AM
We present Meta Locate 3D: a model for accurate object localization in 3D environments.
Meta Locate 3D can help robots accurately understand their surroundings and interact more naturally with humans.
Demo, model, paper: go.fb.me/2lx31s
Franziska Meier retweeted
TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.gith…
One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the technology, and to share a lot of details for how we're achieving it.
youtube.com/watch?v=BEXFnru5…
Franziska Meier retweeted
Join my team at @genesistxai ! 🧬 We're forging AI foundation models to unlock groundbreaking therapies for patients with severe diseases.
We're hiring ML Scientists, Engineers, TPMs & Interns in foundation models, #LLMs , #RL, #diffusion models, and other cutting-edge areas of #genAI.
Come solve challenges in #AI4Science! (Burlingame, NYC & Remote).
Apply: genesistherapeutics.ai/caree…
#Hiring #AI #MachineLearning #DrugDiscovery #Biotech #GenerativeAI #AI4Good
Franziska Meier retweeted
Our vision is for AI that uses world models to adapt in new and dynamic environments and efficiently learn new skills.
We’re sharing V-JEPA 2, a new world model with state-of-the-art performance in visual understanding and prediction.
V-JEPA 2 is a 1.2 billion-parameter model, trained on video, that can enable zero-shot planning in robots—allowing them to plan and execute tasks in unfamiliar environments.
Learn more about V-JEPA 2 ➡️ai.meta.com/blog/v-jepa-2-wo…
As we continue working toward our goal of achieving advanced machine intelligence (AMI), we’re also releasing three new benchmarks for evaluating how well existing models can reason about the physical world from video.
Learn more and download the new benchmarks ➡️ai.meta.com/blog/v-jepa-2-wo…
Franziska Meier retweeted
Robots need touch for human-like hands to reach the goal of general manipulation. However, approaches today don’t use tactile sensing or use specific architectures per tactile task.
Can 1 model improve many tactile tasks?
🌟Introducing Sparsh-skin: tinyurl.com/y935wz5c
1/6
Franziska Meier retweeted
The @Tesla_Optimus new release looks intriguing! The behavior of the robot definitely looks very smooth.
But the messaging is confusing and I would love to get some clarity on (a) type of video data used, (b) amount of teleop needed & (c) level of generality.
Franziska Meier retweeted
Introducing Meta Locate 3D: a model for accurate object localization in 3D environments.
Learn how Meta Locate 3D can help robots accurately understand their surroundings and interact more naturally with humans.
You can download the model and dataset, read our research paper, and even try a demo! go.fb.me/je2t32
Franziska Meier retweeted
FAIR robotics has released a large scale, high quality, human annotated dataset to foster research on scene understanding. We release 130k+ language annotations on existing (open-sourced) scene scans.
Find the dataset here: github.com/facebookresearch/…
Franziska Meier retweeted
1/ Despite having access to rich 3D inputs, embodied agents still rely on 2D VLMs—due to the lack of large-scale 3D data and pre-trained 3D encoders.
We introduce UniVLG, a unified 2D-3D VLM that leverages 2D scale to improve 3D scene understanding.
univlg.github.io
FAIR robotics has released a large scale, high quality, human annotated dataset to foster research on scene understanding. We release 130k+ language annotations on existing (open-sourced) scene scans.
Find the dataset here: github.com/facebookresearch/…
New work from the Robotics team at @AIatMeta . Want to be able to tell your robot bring you the keys from the table in the living room? Try out Locate 3D!
interactive demo: locate3d.atmeta.com/demo
model & code & dataset: github.com/facebookresearch/…
The Cortex team@FAIR is looking for a Research Scientist! If you're interested in research at the intersection of robotic manipulation, world modeling and imitation learning, please apply! metacareers.com/jobs/1093551…
Franziska Meier retweeted
👀Interested in fairness in health applications? Check out our open Postdoc position on the topic.
🎯Deadline is 31st o October.
🗒️Apply here: candidate.hr-manager.net/App…
🎥Announcing the Fairness of AI in Medical Imaging (FAIMI) YouTube channel! 🎥
We are happy to share our YouTube channel (lnkd.in/dr8aHBPW) which now contains videos and playlists from multiple FAIMI events. Thanks to Dewinda Julianensi Rumala and Emma Stanley for helping
We have an open postdoc position in the Embodied AI team at FAIR. Interested candidates with a strong track record of projects and publications in top-tier ML, vision, or robotics conferences are encouraged to apply using the link below.
metacareers.com/jobs/1642916…
So curious to see the 3 ICRA debates today :)
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Franziska Meier retweeted
I am looking for an intern for 2024 to work on the Cortex project in @AIatMeta 's Embodied AI team! Relevant skills include: experience with LLMs/VLMs, EAI simulators such as Habitat, and RL. DM or email at mikaelhenaff [at] meta [dot] com ✨ #AI #InternshipOpportunity #LLM
Franziska Meier retweeted
A challenge in robotics research is the prevalence of misleading demos—those trained on test data, pre-scripted, or heavily tuned for a single environment. This can make genuinely innovative work seem less impressive, as people have seen more ‘impressive’ demos in the past.
Franziska Meier retweeted
A nice way to end the year with some data: 66 Good News Stories You Didn't Hear About in 2023 futurecrunch.com/goodnews202…
Franziska Meier retweeted
🚀 Exciting news! The Cortex team at #FAIR is looking for #PostDocs to join our research journey! Our mission is to create foundation models for all manner of Embodied AI agents - think robots 🤖, smart glasses 🕶️, and beyond!
🤝 Our commitment? Open-source innovation! Just like our past releases (R3M, VC-1), we're all about sharing our advancements with the community.
💡Interested? Find me or @DhruvBatraDB at #NeurIPS for more details.