…of LLM inference optimization, utilizing tools like vLLM, SGLang, and advanced KV Cache optimization . Elite Collaboration: Work alongside top-tier engineers, researchers, and ML…

…5+ years of industry experience in Machine Learning, Infrastructure or related fields Experience with deep learning framework such as Pytorch or Huggingface or LLM…

…Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure…

…More recently, GPU deep learning has ignited modern AI, positioning NVIDIA as a leading AI computing company. There is an increasing focus on delivering…

…Strong understanding of generative AI, deep learning, machine learning, model lifecycle, inference serving, model optimization, distributed training, and MLOps. Hands-on programming experience in…

…a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based…

…NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple model providers such as OpenAI, Anthropic, Azure…

…GPU-powered deep learning helped ignite the era of modern AI, establishing GPUs as the foundation of intelligent applications across productivity, gaming, and creative…

…LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines…

…LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines…

…Machine Learning and LLMs A solid understanding of classical ML, and LLM fundamentals — knowledgeable in transformer architectures, attention mechanisms, and tokenization principles. You understand…

…first role, but deep conceptual familiarity with at least one of our core research areas is highly valued: Foundation models & LLMs: pre-training from…

…knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while…

…of LLM, MT, or related disciplines is highly preferred for senior researchers. Experience in machine learning and NLP including model training, inference, Large Language…

…pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference. * Publish research, file patents, and stay…

…You will lead a world-class team of machine learning engineers, software engineers, data engineers, and applied scientists building scalable knowledge systems, LLM-powered…

…of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with…

…Strong understanding of modern AI software stacks, including deep learning frameworks, inference engines, and AI developer workflows. Excellent communication, organizational, and cross-functional leadership…

…You'll stay current with developments across computer vision, deep learning, and adjacent ML fields (including LLMs and multimodal models where relevant), and use…

…supervised and unsupervised learning, deep learning, time-series modeling, and Bayesian statistics. Production-quality software engineering in Python, including reusable service design and the…

…to model serving, LLM/agent infrastructure, or streaming data systems. - Note - You don't need a background in ML research or model training — this…

…LLMs (e.g., OpenAI, Anthropic, Google, and proprietary ServiceNow models) to evaluate trade-offs across execution capabilities, latency, context-window efficiency, and inference costs…

…ML and deep learning foundation, with hands-on experience building enterprise-grade GenAI systems: advanced RAG, multi-agent architectures, and production LLM deployments. You…

…This role demands versatility at the intersection of platform strategy, strong Deep Learning fundamentals with hands-on execution, and business acuity with senior leaders…

…CS, ML, Economics, Operations Research, or similar) preferred Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models…