Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
DoorDash is hiring a Staff Machine Learning Scientist for Applied Causal Inference to build causal ML systems for its New Verticals business, with a salary range of $204,000 to $299,000 per year. The role, based in San F…
Experian, a global data and technology company with 25,200 employees in 32 countries, is hiring a Staff Backend AI Engineer for a remote position in the United States. The role involves leading the delivery of high-throu…
Anduril Industries, a defense technology company, is hiring a Senior Computer Vision Engineer for its Frontier AI team in Washington, D.C., with a salary range of $191k–292k/yr. The role involves designing, training, and…
OliverGraph is developing a tool to reduce AI coding agent errors by capturing the history behind code changes, not just the final diff. The company aims to let agents retrieve context from past debugging sessions, Slack…
Reddit's r/MachineLearning, r/LocalLLaMA, and r/ArtificialIntelligence subreddits remain the primary hubs for real-time AI discourse, with r/LocalLLaMA seeing explosive growth since 2023 for open-source model discussions…
Roblox is hiring a Senior Director of Engineering for Generative AI in San Mateo, CA, with a salary of $526k–574k/yr, to lead the Applied AI organization within its Roblox Build platform. The role involves owning model s…
Researchers Alex Shtoff and colleagues introduced the spectral neuron, a scalar model f(x)=λ_k(A_0 + A_1 x + ... + A_n x_n) with learned real symmetric matrices, offering a middle ground between linear models' coefficien…
A new interactive adaptation of the JAX scaling book chapter on transformer training parallelism lets readers drag sliders to see how data, tensor, pipeline, and expert parallelism affect communication bottlenecks, with …
Wayve, a developer of Embodied AI technology founded in 2017, is hiring a Principal Machine Learning Engineer for Geometric Vision in Sunnyvale, offering a salary of $407k–460k/yr. The role involves building 3D foundatio…
Enterprises should prioritize building datasets and customizing small AI models over relying solely on cloud-based frontier models, according to a tech commentator. The argument emphasizes that customized small models ca…
RadixArk released Miles v0.1, an open-source framework for aligning AI training and inference, on GitHub. The company, founded by Ying Sheng and Banghua Zhu, aims to commercialize open-source infrastructure for AI infere…
AI is the convergence of two fundamentally different systems—predictive machine learning and reasoning-based generative AI—and companies that combine both will outperform those treating AI as a single tool, according to …
Helsing, a defense technology company developing AI-enabled drone software, is hiring a Machine Learning Engineer for Detection and Tracking in Washington, DC, to own the detection and tracking models powering its Altra …
Jump Trading Group is hiring a Research Scientist/Research Engineer for its reinforcement learning team in Chicago, New York, or London, offering an annual base salary of $200,000–$350,000. The role involves conducting o…
SineKAN, a new variant of Kolmogorov-Arnold Networks (KANs) that replaces B-spline activations with sine functions, may outperform traditional B-splines for certain tasks such as physics-informed neural networks and sign…
Researchers at the USC Viterbi School of Engineering have shown that the AI model Allegro-FM independently learned the chemical bond concept without explicit instruction, as published in Nature Communications. The team d…
Hugging Face Community, Reddit r/MachineLearning, Stack Overflow, PromptCube, Dev.to, Kaggle, and official Discord servers are the best dedicated forums for AI practitioners, offering searchable, archival value over flee…
Okta is hiring a Staff Machine Learning Engineer for its Generative AI team in Toronto, Ontario, Canada, offering a salary of $168,000–$231,000 per year. The role involves architecting and deploying production-ready AI/M…
Turbovec, a Rust vector index with Python bindings built on Google Research's TurboQuant algorithm, fits a 10 million document corpus into 4 GB of RAM versus 31 GB as float32 and searches faster than FAISS, averaging 3.4…
Radix Ark released Miles v0.1, a full-stack production-ready system for frontier post-training, designed to make large-scale reinforcement learning accessible to researchers and developers. The system optimizes every sta…