lucazapp.bsky.social @lucazapp.bsky.social · 29/06/2026Our MLR team is looking for someone who's excited about understanding, challenging, and re-imagining machine learning, pushing the boundaries of what we know and turning that knowledge into new capabilities across Apple's products. 000
lucazapp.bsky.social @lucazapp.bsky.social · 29/06/2026What we're looking for: • A track record of publishing at top-tier ML conferences and journals • Hands-on experience across every stage of a research project If this sounds interesting: Know someone who'd be a great fit? Tag them or share this post. 🙏 000
lucazapp.bsky.social @lucazapp.bsky.social · 29/06/2026🚀 We're hiring a Research Scientist, Machine Learning Research (MLR), Barcelona ☀️ 👉 Apply here: jobs.apple.com/en-us/detail... #MachineLearning #MLResearch #AI #Hiring #Apple #Barcelona #ResearchScientist #DeepLearningjobs.apple.comAIML - Machine Learning Researcher - MLR - Jobs - Careers at AppleApply for a AIML - Machine Learning Researcher - MLR job at Apple. Read about the role and find out if it’s right for you. 283
lucazapp.bsky.social @lucazapp.bsky.social · 23/10/2025Check out our new work on conditioning pre-trained generative models via activation steering. LineAS has been accepted at NeurIPS 2025. Code and paper are online: 💻 github.com/apple/ml-lin... 📄 arxiv.org/abs/2503.10679github.comGitHub - apple/ml-lineasContribute to apple/ml-lineas development by creating an account on GitHub. 000
lucazapp.bsky.social @lucazapp.bsky.social · 17/04/2025New blog post that explains our work on Controlling Diffusion and LLMs using steering and optimal transport: machinelearning.apple.com/research/tra... This work will be presented at ICLR2025 in Singapore. See you there!machinelearning.apple.comControlling Language and Diffusion Models by Transporting ActivationsLarge generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these… 010
Reposted by @lucazapp.bsky.socialPau Rodriguez @paurodriguez.bsky.social · 10/12/2024Thrilled to share the latest work from our team at @Apple where we achieve interpretable and fine-grained control of LLMs and Diffusion models via Activation Transport 🔥 📄 arxiv.org/abs/2410.23054 🛠️ github.com/apple/ml-act 0/9 🧵 34715
Reposted by @lucazapp.bsky.socialPreetum Nakkiran @preetumnakkiran.bsky.social · 11/02/2025Paper🧵 (cross-posted at X): When does composition of diffusion models "work"? Intuitively, the reason dog+hat works and dog+horse doesn’t has something to do with independence between the concepts being composed. The tricky part is to formalize exactly what this means. 1/ 23915
Reposted by @lucazapp.bsky.socialSamira @samiraabnar.bsky.social · 28/01/2025🚨 One question that has always intrigued me is the role of different ways to increase a model's capacity: parameters, parallelizable compute, or sequential compute? We explored this through the lens of MoEs: 1188
Reposted by @lucazapp.bsky.socialMarco Cuturi @marcocuturi.bsky.social · 18/12/2024The Apple Machine Learning Research (MLR) team in Paris has openings for both FTE roles and a short-term post-doc position to contribute to our team's research agenda. Researchers at Apple's MLR (led by Samy Bengio) target impactful publications in top-tier ML venues and OSS. 1133
