…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…Own intake, triage, routing and request-quality standards for accelerator-capacity requests across multiple engineering and research teams. Run quarterly and annual demand forecasts…

…powerful pre-trained models into aligned and general agents. - Drive research and engineering initiatives that push the frontier of post-training, from data curation…

…Design, develop, and evaluate next-generation AI models and systems, from pre-training and post-training methodologies to novel architectures and scalable inference solutions…

…This is hands-on engineering with direct, measurable impact on Amazon's security posture. The ideal candidate has strong software engineering fundamentals, experience deploying…

…Experience scaling AI systems across distributed infrastructure, including multi-node training and large-scale data pipelines. Published research or open-source contributions in relevant…

…post-training, optimization, evaluation, deployment, and model serving. Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems…

…Provide feedback and collaborate with engineering, product, and research teams. Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms. What we need…

…Partner effectively with engineering and research teams across Waymo to deploy new models, and implement efficient workflows for model development and continuous training on…

…key workloads with ultra high-speed inference. Key Responsibilities - Work with architects, designers, post silicon and software engineers to ensure a high-quality design…

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

…debuggable - Comfort working in Python on AWS with Postgres; experience with Temporal or similar workflow engines is a plus You're likely someone who…

…and operate an increasingly diverse set of AI workloads, from training, to inference, agents, and sandboxes. CoreWeave Kubernetes Service is at the center of…

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

…from platform engineers. WHAT WE’RE LOOKING FOR - Track record building and operating production ML infrastructure across multiple models or inference workloads. - Strong production…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…that powers the next generation of AI training and inference at scale. As a Staff Engineer on our Orchestration team, you will collaborate to…

…frameworks built for researchers and developers working on Large Language Models (LLM) and Multimodal (MM) foundation model pretraining and post-training. Our GenAI Frameworks…

…orchestration, training, inference, observability, resiliency, or related software layers. Demonstrated ability to work credibly with partner executives as well as product managers, engineers, solution…

…Technical proficiency in AI infrastructure, cloud platforms, distributed systems, Kubernetes, orchestration, training, inference, observability, and resiliency. Ability to work effectively with product managers, engineers…

…with research in efficient multimodal reasoning, LLM reasoning, model compression, efficient inference/decoding, or lightweight VLM architectures Experience training or post-training vision-language…

…You will work closely with ML scientists, CV engineers, platform engineers, and SRE partners to translate advanced research systems into secure, reliable, and scalable…

…NLP/ML architectures, including pretraining, fine-tuning, and post-training techniques. - Experience applying causal inference techniques in artificial intelligence and machine learning systems Amazon…

…You will own a significant research area and contribute across the full model lifecycle — from pre-training and architecture design through post-training alignment…

…Analyze simulation and engineering application architectures and find opportunities for acceleration. Provide feedback and collaborate with engineering, product, and research teams. Deliver trainings, hackathons…