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Build and deploy AI models, including LLMs, for client projects and internal research, using Python, PyTorch/TensorFlow, and modern prompt engineering techniques.
Build and optimize cutting-edge AI world models for real-time simulation, training, and inference using PyTorch and modern GPUs.
Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We build robust…
Technical Lead, Machine Learning Founding AI Engineering Team | Remote | Cash + Equity About the company We`re partnering with A1 , a new AI venture incubated by BJAK —one of Southeast Asia's largest and profitable…
Builds and scales ML infrastructure for protein design using MLOps, HPC, and distributed training, collaborating with scientists to deploy AI models in production.
About Rainmaker Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS,…
Design and deploy ML solutions using AWS’s Neuron SDK, Inferentia, and Trainium accelerators for strategic customers, while driving adoption and thought leadership in cloud-based AI infrastructure.
Build and deploy deep learning models for traveler personalization at scale, using PyTorch/TensorFlow to power Expedia’s global recommendation and ranking systems.
Develops low-level GPU profiling libraries and tools that help developers debug and optimize performance for compute and graphics workloads on NVIDIA hardware.
Develop and deploy multimodal AI models for Apple products, bridging research and engineering to create next-gen generative AI experiences using vision, language, and video systems.
Senior Field Application Engineer supporting customers to run AI workloads on AMD Instinct GPUs, Pensando AI NICs, and EPYC CPUs, tuning performance and creating technical documentation.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based…
Fullstack developer building and maintaining customer-facing applications using Java, Vue.js/Angular, REST, and cloud-native tools like Kubernetes and Docker.
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a…
Business Unit WeiXin Group(WXG) is responsible for the construction and operation of the Weixin ecosystem and leveraging Weixin's open platforms such as Official Accounts, Mini Programs, Weixin Pay, WeCom and…
Designs and deploys AI agents and multimodal models for high-stakes, regulated environments using Python, Rust, or C++ and frameworks like PyTorch or JAX.
NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated…
Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI researchers and software…
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