…With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding…

…Experience working with vision-language models, image generation, or audio/video understanding models. - Security & Governance: Experience architecting AI systems with guardrails, responsible AI practices…

…Own end-to-end response prediction — design and improve deep learning models for multi-task prediction (click, conversion, page view, incrementality) serving at inference…

…Experience with Kubernetes, distributed training, and large-scale inference. Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production…

…forms of parallelism for distributed inference. - AI Domain Knowledge: Familiarity with video generation (videogen) models and large language models (LLMs). - Collaboration: Strong cross-discipline…

…world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10…

…quantitative field, or PhD - Experience in running & fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA, Instruction Tuning, and RLHF…

…Teams spend less time managing infrastructure and more time building models. Average recommendation model size increases. Benefits: Global Benefit programs that fit your lifestyle…

…machine learning, statistics, optimization, product analytics, causal inference, and experimentation Experience deploying models in production and adjusting model thresholds to improve performance Experience designing…

…Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Proven ability to lead projects…

…We are looking for an Applied Scientist to build deep learning models that predict query resource consumption, enabling intelligent workload management at massive scale…

…with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA. You have worked with large-scale inference systems…

…Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience in machine learning, data…

…experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution Amazon is an equal opportunity…

…language - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience in causal modeling…

…in project management methodologies, business analysis, or process improvement - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and…

…You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender…

…You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender…

…and custom models, experience with model customization/fine-tuning. - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and…

…and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience designing, building, operating, and managing large-scale distributed…

…ML frameworks (PyTorch, TensorFlow) Model deployment and serving systems Building scalable software and APIs Experience with: Large Language Models (LLMs), multimodal models, or generative…

…for large-scale AI model serving (TensorFlow Serving, Triton, TorchServe, or similar) - Familiarity with the challenges of high-throughput, scalable GPU fleet management, scheduling…

…other audio-based machine-learning workflows. - Experience orchestrating large language models or multi-model inference pipelines in production. - Familiarity with workflow orchestration systems such…

…experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - 6+ years of processing data…

…enterprises define governance policies in natural language, and SAGE's custom small language models act as judges on every agent action. These models are…