I'm looking for a PhD research intern focused on Speech/NLP to join Apple Machine Learning Research in Copenhagen, Denmark! You can apply via : jobs.apple.com/da-dk/details/… Please share with anyone who might be interested

I have multiple openings for M2 internship / PhD / postdoc in Nice (France) on topics related to bilevel optimization, automatic differentiation and safe machine learning. More details on my webpage samuelvaiter.com Contact me by email, and feel free to forward/RT :)

🚀 We are hiring full-time ML researchers and PhD-level interns! Join us for exciting projects in AI for Science (weather and climate models) and understanding LLMs. Full-time role: jobs.apple.com/en-us/details/… lists US but EU is also OK—apply regardless of location preference!

I will be attending #EMNLP2024 in Miami! ☀️🌴 There will be talks, posters, .. more updates soon! Our team is also hiring interns, and an AIML resident (details below). Please reach out if you’re interested. DMs are open, and I will be at the Apple booth at 11am tomorrow! 1/2

For the AIML resident, we are looking for someone interested in Personalizing LLM Interactions, with a background in Cognitive Science, Linguistics, Neuroscience, Psychology, Sociology, or related. Link: jobs.apple.com/en-us/details/… 2/2

I’m thrilled to announce 3 #internship openings Apple ML Research in beautiful ☀️ #Barcelona ☀️ for 2025! Two internships on Generative Models (GM), Controllability, Interpretability, and Model Editing; and one on GM &🔈Spatial Audio. Apply: jobs.apple.com/en-us/details/… Details 🧵

Merci pour l’opportunité d’avoir échangé sur mes recherches et mes expériences ! Merci à mes directeurs de thèse Gabriel Peyré et Rémi Gribonval pour votre supervision 😊

📢 We have an open position for an AIML resident to come work with Apple MLR in Copenhagen! 🇩🇰 📝 Topic: Personalizing LLM interactions 🗓️ Deadline to apply is December 16 More details in thread 🧵 👇 1/4

🦋 pierreablin.bsky.social

We release AIMv2, the second iteration of the AIM family of large autoregressive vision encoders. This time we bring multimodality into the game 🔥 Paper: arxiv.org/abs/2411.14402 Repo: github.com/apple/ml-aim Model Gallery: huggingface.co/collections/ap…

𝗗𝗼𝗲𝘀 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻? 🤔 Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding. github.com/apple/ml-aim (🧵)

MLSS is coming to Senegal 🇸🇳 in 2025! 🌍 📍 AIMS Mbour, Senegal 📅 June 23 - July 4, 2025 An international summer school to explore, collaborate, and deepen your understanding of machine learning in a unique and welcoming environment. Details: mlss-senegal.github.io

We attempted to make Normalizing Flows work really well, and we are happy to report our findings in paper arxiv.org/pdf/2412.06329, and code github.com/apple/ml-tarfl…. [1/n]

Small update on SigmoidAttn (arXiV incoming). - 1B and 7B LLM results added and stabilized. - Hybrid Norm [on embed dim, not seq dim], `x + norm(sigmoid(QK^T / sqrt(d_{qk}))V)`, stablizes longer sequence (n=4096) and larger models (7B). H-norm used with Grok-1 for example.