Joined October 2016
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Seyed Moosavi retweeted
Join our innovative team at #Apple as a Research Scientist/Engineer specializing in LLM #Reasoning, #Planning, and General #Intelligence. We are seeking an ideal candidate who: - Is available to start by the end of this year - Holds a PhD or will graduate by year-end - Has 3-5 "first-author" research papers featured in prestigious conferences like NeurIPS, ICLR, ICML, ACL, CVPR, among others - Possesses expertise and has 1-2 "first-author" papers in Large Language Models (LLM) reasoning, planning, in-context learning, generalization, and understanding transformer mechanisms (These 1-2 papers could be a subset of the above 3-5 papers) - Demonstrates proficiency in PyTorch, transformers, model training, and optimization - Must be located in the US/Canada and able to relocate to Seattle by the end of this year This position is tailored for individuals who meet all the specified criteria. - Additional bonus: Research experience and papers in agentic LLMs, tool calling, memory, reinforcement learning, and familiarity with JAX To apply, please visit the job posting at lnkd.in/gh52vF9s and send an email with the subject line "hiring 2025." Kindly apply only if you meet all the outlined requirements. Apologies in advance as I may not be able to respond to all emails.
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Seyed Moosavi retweeted
Want to understand how parametrization affects generalization in deep learning? Do not miss our spotlight poster #ICLR2025 -- today Hall 3 Hall 2B #315 @smoosavid can answer very deep questions! arxiv.org/abs/2410.12025
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Seyed Moosavi retweeted
🔥 Join Our Research Team at Apple We are looking for strong **PhD graduates** to fill two full-time research positions on our MIND team at Apple, focusing on Reasoning and Knowledge for Foundation Models: 1/2
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🔥 Join Our Research Team at Apple We are looking for strong **PhD graduates** to fill two full-time research positions on our MIND team at Apple, focusing on Reasoning and Knowledge for Foundation Models: 1/2
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- Zurich, Switzerland: jobs.apple.com/en-us/details… - Seattle, US: jobs.apple.com/en-us/details… If you are interested, please apply directly via the links above.

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📢Research Internship Opportunity at @Apple We are looking for strong **PhD** interns to join us in Zurich🇨🇭to explore knowledge and reasoning in foundation models. If interested, please send your CV your scholar to aiml-krfm-internship@group.apple.com 1/2
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Please also submit your application at jobs.apple.com/en-us/details… ⏰Flexible start date. The internship will be **in-person**! Any questions? Send them to the email above. 2/2

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Seyed Moosavi retweeted
We have a full-time permanent faculty position within Imperial's I-X initiative with @ImperialEEE as host dept. All areas of applied #AI/#ML, including #Robotics, #ComputerVision, #HumanRobotInteraction, #Comms, #Healthcare, #EmbeddedAI welcome. Details: imperial.ac.uk/jobs/descript…
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Seyed Moosavi retweeted
7 Aug 2023
📢11 new independent Fellowships in #AI in #science are now open for applications👏 Don't miss out on this fantastic opportunity to be at the forefront of @imperialcollege #AIresearch 🤖 ⬇️Find out more & apply imperial.ac.uk/ix-ai-in-scie… @ImperialAI @ImperialDSI @ImperialSci

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Seyed Moosavi retweeted
Are you amazed by weight interpolation techniques to edit large pre-trained models? 🤔 Then you’re going to love our work 🚀: “Task Arithmetic in the Tangent Space”🏄 which explains why they work and gives a simple way to make them better! 🤓 📄: rb.gy/q9djm 🧵1/9
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Seyed Moosavi retweeted
26 Apr 2023
I'm looking for new PhD students to work on #robotic manipulation, #tactile sensing, #haptic interfaces and #MachineLearning related to the above. Scholarship limitations means that I can only accept UK applicants at present. More details on: imperial.ac.uk/manipulation-… Pls RT!
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Seyed Moosavi retweeted
Self-supervised models are a must-know for CS undergrads entering the job market. This semester I taught my first undergrad/MS course on these models, exploring their impact.The course content (slides/assignments) is online for those interested: self-supervised.cs.jhu.edu/s…

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Seyed Moosavi retweeted
12 Jan 2023
I'm looking for a PhD student to join my lab and explore the potential of variable-friction #robotic grippers. A more detailed post, with requirements and application instructions is currently over on LinkedIn: linkedin.com/posts/ad-spiers…
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Seyed Moosavi retweeted
Today's the last lecture of our 1st edition, 50-hour course on Machine Learning Security at University of Cagliari. The course materials are available at: github.com/unica-mlsec/mlsec - Your feedback is more than welcome, and we'll be working soon on the 2nd edition for next year!
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Are you looking for a postdoc position in AI? Come join us at Imperial! If you are interested in #reliable AI methods to advance a particular area of science/engineering, please reach out!
27 Oct 2022
Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Postdoctoral Fellowships, a program of Schmidt Futures, commencing from January 2023. imperial.ac.uk/jobs/descript… @schmidtfutures
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Seyed Moosavi retweeted
Personal news: I am officially on the job market for 2023 (academia or industry; RS or RE). Very eager to contribute to the intersection of causal ML, explainable AI, and program synthesis 🤖🧠 If you know of positions that may be a good fit, please reach out. RT appreciated 🙏🏼
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Highly recommended read! A very nice post on principled approaches to design transferable adversarial attacks.
New blog post: many deep nets are *very* similar to one another, and we can demonstrate it with a cute transfer attack. medium.com/fiveai/many-deep-…
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Seyed Moosavi retweeted
Excited to share our paper in @Nature: We revisit the 50 year-old maths problem with AI: how efficiently can we multiply two matrices? Surprisingly, the answer is still not known - even for 3x3 matrices! With AI, we discover many new efficient and exact algorithms. 1/13
Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: dpmd.ai/dm-alpha-tensor & dpmd.ai/nature-alpha-tensor 1/
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Seyed Moosavi retweeted
How can AI transform the way we do scientific research? Announcing the #AI4science workshop in the beautiful city of Rabat, addressing topics from drug discovery to climate change and computational physics. Applications are open until October 15th: ai4science.nassma.ai/
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Seyed Moosavi retweeted
Postdoc position opening in #AI for medicine jointly hosted by ⁦the labs of #EmmanuelAbbé and ⁦@pafrossard⁩ within the scope of a ⁦@CIS_EPFL⁩ supported research program. recruiting.epfl.ch/Vacancies…

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