…post-training to production serving, to optimizing the inference engine for RL training workloads. You will collaborate closely with our product, research, and engineering…

…Hands-on experience with large-scale model training, fine-tuning, inference optimization, or AI platform engineering. Hands-on experience with inference optimization and model…

…business units, engineering teams, geographies, or corporate functions. Solid understanding of the AI development lifecycle, including model development, training, evaluation, inference, deployment, and support…

…across research, software engineering, infrastructure, QA, release teams, and partner groups. Strong understanding of the AI model lifecycle, including training, post-training, evaluation, experimentation…

…including data, model, training, inference, and evaluation components, employing best practices for scalable and reliable deployment. Solution Development – Articulating Research Insights: –Independently identifies meaningful…

…What you'll do Positioning & Messaging - Define Applied Compute's position and story in the AI infrastructure space - Turn complex inference, post-training, and…

…skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and…

…YOUR RESPONSIBILITIES We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next…

…of controls across model training pipelines, inference endpoints, and AI-powered features across Canva's platform Lead novel research into emerging AI security threats…

…As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and pioneering open-source projects to…

…post-training. Engage with the wider research community on best practices around data centric evaluation creation and refinement Partner with engineering and research teams…

…leaders, and executives to understand and shape infrastructure strategy, including training and inference requirements Builds and maintains relationships across the AI ecosystem, including venture…

…train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product…

…Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments. Advance Experimentation and Causal Inference at Scale…

…capabilities — spanning training infrastructure, model serving, feature engineering pipelines, and AI-accelerated developer tooling — that enable thousands of engineers and researchers across Meta to…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

…medical training, and gaming to get these technologies into production. This role brings sits at the intersection of research and systems engineering, where we…

…post-sale stages. Work closely with customer AI researchers, engineers, and developers to build, prototype, and deploy Agentic solutions on NVIDIA platforms. Optimize inference…

…Strong engineering and R&D experience in LLM post-training, reinforcement learning for language models (RLHF, RLAIF), reward modeling, policy optimization, model alignment, grounding…

…validate efficient inference techniques such as speculative decoding, long-context handling, and KV-cache management. - Support quantization workflows (AIMET-based post-training quantization, mixed…

…This is a hands-on research and engineering role at staff scope: you’ll write code — training pipelines, evaluation systems, infrastructure, or whatever the…

…engineering and research teams. - Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and…

…This platform is the storage backbone for NVIDIA's AI infrastructure, enabling researchers and engineers to reliably store massive datasets, model checkpoints, and training…

…for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI researchers and software engineers in driving the future…

…post-training and RL from verifiable rewards, reasoning, advanced RAG, multi-agent workflows, skills/harness engineering, agent evaluation and observability, and production inference. Be…