About the Role We are looking for a Staff/Lead Software Engineer, AI Infrastructure, to play a critical role in building and scaling the…

…We solve foundational challenges including schema-agnostic multi-modal understanding, efficient inference at order-of-magnitude cost reduction, and rapid innovation through automated experimentation…

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that…

…inference infrastructure. We prefer: PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal…

…can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation…

…Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and…

…Your work will empower teams across Apple to rapidly evaluate multi-modal sensor fusion while upholding Apple's privacy standards. Design robust methodologies and…

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…

…You will also integrate data from multiple modalities — cameras, LiDAR, depth sensors, and IMUs — into unified world models that support navigation, manipulation, safety, and…

…inference infrastructure. We prefer: PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal…

…tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring…

…Experience with Generative AI, LLMs, multi-modal models, or foundation model architectures. Experience operating at large scale, including high-throughput inference systems, distributed training…

…scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization - Design and…

…System & Application Enablement Support multi-modal sensor data acquisition, sensor fusion, and edge AI inference workflows Contribute to hardware–software integration for efficient system…

…Another challenge is multi-modal data fusion. You will develop and build methods that reconstruct coherent 3D representations by integrating complementary datasets of 2D…

…Another challenge is multi-modal data fusion. You will develop and build methods that reconstruct coherent 3D representations by integrating complementary datasets of 2D…

…Key job responsibilities - Building software that enables integration of Alexa voice and multi-modal services into compelling applications that run on millions of Echo…

…As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research…

…Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative…

…research exploration with hands-on engineering to translate innovations from concept to production. Build scalable pipelines for multi-modal agent input, memory, and semantic…

…technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity. - 100% coverage of…

…and remain deeply hands-on with implementation, including modern transformer-based, multi-modal, and vision-language techniques where they add real value. What you…

…inference/training. Familiarity with simulation platforms and deep understanding of 3D sensor modalities (Camera, Multi cameras, Lidar, Radar). Experience with open source software. We…

…You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to…

…Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI) Work Across Modalities: Integrate structured…