Rεsεαrch Sciεητisτ @GoogleDeepMind. I ∈ Optimization ∩ Machine Learning. Here to discuss research 🤓. Like heavy music🤘.Origin=🇮🇷 Citizen=🇺🇸.
Mountain View, CA
Joined December 2010
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Excited to share about what I’ve been working on over the past year: quantifying the capacity of a neuron😅
This led to a mathematical framework we call HOPE, which lets us rigorously deconstruct what deep networks might have learned. Paper: arxiv.org/abs/2607.21366
Hossein Mobahi retweeted
We 'll be hiring very actively at Berkeley!
Assistant/ Associate/ Full Professor – Electrical Engineering & Computer Sciences (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05…
Assistant Professor – AI for Biology – Electrical Engineering & Computer Sciences and Center for Computational Biology (Deadline: Nov. 9, 2026 at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05…
Assistant Professor – Intersection of Statistics and CS – Departments of Electrical Engineering & Computer Sciences and Statistics (Deadline: Nov. 10, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05…
Assistant/ Associate/ Full Professor – Computational Biomedicine - Center for Computational Biology (Deadline: Nov. 18 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05…
Assistant / Associate Professor – Electronic, Functional, and Quantum Materials – Electrical Engineering & Computer Sciences and Materials Science & Engineering (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05…
Coming Soon! Assistant/ Associate/ Full Professor - AI and the Physical Sciences -Bakar Institute of Digital Materials for the Planet (BIDMaP) and home department(s) to be determined. (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05…
Coming Soon! Assistant/ Associate/ Full Professor-in-Residence - Gladstone Institute of Data Science and Biotechnology and home department(s) to be (Deadline: TBD at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05…
Hossein Mobahi retweeted
My team @GoogleDeepMind is hiring! We are seeking a Research Scientist to rigorously study the internals and generalisation of frontier AI systems, w/ a particular view to AI security.
This is an in-person role at our Platform 37 office in London 🎡
Link to apply in thread 👇
Hossein Mobahi retweeted
We're hiring 3 student researchers for next year!
Apply if you're interested in Vision-Language Models and want to do frontier research
Link for application below
Hossein Mobahi retweeted
Our team @GoogleDeepMind is hiring 3 PhD Student Researchers for 2027 to work on exciting, cutting-edge projects focused on understanding, evaluating, and aligning frontier AI agents and multi-agent systems. Signal your interest here forms.gle/2onGFBnyk7MaCdJn8 and spread the word!
Hossein Mobahi retweeted
🚨 New paper alert on discovery harnesses!
It turns out that the quality of sequential discovery depends on the quality of the initial population.
Fixing the compute budget, we show that parallel prompting could serve as a powerful initialization, raising the discovery floor!
Rare opportunity: exciting ML topics, great location, and working with an exceptional mentor. Having met @EmtiyazKhan a few times, he’s super grounded, friendly, and brings bold vision and clear conviction to ML research.
I recently moved to TU Darmstadt (Germany) and am currently hiring PhD student through ELISS.
ellis.eu/news/ellis-phd-prog…
If you interested, please apply and choose me as a potential advisor. Topics include Continual/Distributed/Federated/Active/Transparent AI.
Excited to see this! Topological deep learning offers such a refreshing perspective beyond standard geometric geometric deep learning. Fingers crossed the lecture notes are posted online!
Hossein Mobahi retweeted
Gemini 4 Argon taught a robot to play cornhole just by watching a video.
It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row.
Hossein Mobahi retweeted
Please help spread the word!
We’re hiring Research Scientists and Research Interns at NVIDIA Research to work on some of the most exciting problems in generative AI:
🌎 World Models & Video Diffusion
🧠 Diffusion Language Models
🧬 Biomolecule Design
If your research aligns with any of these areas, please apply directly through the links below.
Open positions + application links:
research.nvidia.com/labs/gen…
🚨Intern Hiring for Summer 2027🚨
I am looking for a Research Intern to join us at @GoogleDeepMind in Mountain View, California! The project will be exploring both theoretical and empirical aspects of continual learning in deep network.
Apply here:
forms.gle/HmXExwWBguRiT1edA
Hossein Mobahi retweeted
🗣️ Can we evaluate the process of intellectual production rather than just the final text? Can we creatively design approaches to filter unaccountable research and nudge researchers and students toward genuine ownership of their work? Yes. 1/11 🧵
Hossein Mobahi retweeted
💥 The multiplication saga continues! It turns out, some frontier LLMs do struggle with simple multiplications.
Unlike GPT-6-Astra, Fable 5.1 with low reasoning has a blind spot where the accuracy of, say, 5x6 multiplications drops to ~0%!
The failure mode is very interesting: the 0% zone corresponds to a failure of adaptive thinking. The model decides that it shouldn't produce any reasoning and outputs the (wrong) answer directly. For larger multiplications, however, the model realizes it should produce a CoT first and then it gets the answer correctly. For very large multiplications (close to 20x20), the accuracy degrades again.
How many such simple blind spots do frontier LLMs still have? This is why slowing down and carefully studying generalization and safety is the top priority...
1/2
Hossein Mobahi retweeted
Had enough with chaotic mega AI conferences? A small high-quality conference becomes a rare gem. Glad to announce that the 4th CPAL cpal.cc is to be held in Tokyo, March 2027. This time not only we go to "see pals" but also the beautiful Japanese cherry blossom. Please join us!
The future of AGI requires diverse perspectives. DeepMind Institute (DMI) got just launched to be a hub for researchers across the globe to publish, debate and evolve ideas about Artificial General Intelligence.
#DeepMind #AGI #AI
Hossein Mobahi retweeted
We’re hiring! This is a rare opportunity to work with the folks that built Veo, Genie, and Gemini Omni — and advance the frontier of world models.
More details below 👇
Hossein Mobahi retweeted
Introducing Flow Reasoning Models.
We developed a recurrent flow-based architecture to efficiently solve structured reasoning problems (e.g., Sudoku).
FRMs apply continuous flows to discrete data and recurrently refine their past mistakes through self-conditioning.
Hossein Mobahi retweeted
Simple ideas often generalize best! Loss smoothing is one of those really simple ideas that works surprisingly well for adaptation under distribution shift. Really excited about this line of work!
Our third invited talk by Sarath Chandar (@apsarathchandar) was about:
🎙️ Stable Adaptation Under Distribution Shift
🎥 youtube.com/watch?v=eddBBYye…
