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About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North…
Build and deploy LLM-powered NLP systems and Agentic AI for customer-experience automation, scaling solutions to millions of daily interactions in a fast-paced startup.
Designs and deploys ML models to predict and prevent GPU cluster failures, optimizing real-time AI infrastructure reliability and utilization.
Design and scale distributed data pipelines and MLOps infrastructure for a GPU-powered AI cloud platform, focusing on reliability, observability, and automated anomaly detection in a Kubernetes environment.
Designs and deploys AI infrastructure solutions for enterprise customers, focusing on LLM workloads and GPU-based cloud platforms.
Senior engineer builds and runs Kubernetes-native benchmarking services to measure latency, throughput, and reliability across CoreWeave’s global AI cloud, publishing results like MLPerf.
Develops and optimizes AI model-serving systems on GPU infrastructure, focusing on latency, reliability, and cost while working with tools like Triton, vLLM, and Kubernetes.
Builds and maintains Kubernetes-native AI research infrastructure for CoreWeave’s customers, focusing on job orchestration, distributed training, and developer tooling to accelerate AI model development.
Write, profile, and optimize CUDA kernels for LLM inference to maximize throughput and minimize latency on NVIDIA GPUs, using DSLs like Triton or Mojo and benchmarking with MLPerf.
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
Applied AI Engineer, Inference at CoreWeave. Improve real-world performance of AI models via benchmarking, profiling, and optimization.
Design and deliver AI infrastructure demos and proofs-of-concept for new customers, partnering with sales and engineering to onboard greenfield AI teams onto CoreWeave’s GPU-powered cloud platform.
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
This role involves optimizing large-scale foundation model training on TPU infrastructure by profiling and improving JAX/XLA workloads and developing high-performance kernels. The engineer will lead technical projects and collaborate across teams to enhance training efficiency, scalability, and throughput.
Build and deploy AI-powered search and ranking systems for trivago’s hotel metasearch engine, handling multilingual queries, semantic retrieval, and personalised results to drive conversions.
Builds and maintains CarGurus’ cloud-hosted ML platform, deploying Python models to production APIs, enhancing data pipelines, and integrating AI systems (recommendations, search ranking, computer vision) into automotive marketplace products.
This AI Specialist designs and delivers AI solutions, focusing on foundation and large language models, leveraging tools like TensorFlow, PyTorch, Keras, and Hugging Face. The role involves building cognitive solutions for data analysis and managing projects from research to production, utilizing Python and cloud platforms.
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
Company Qualcomm Middle East Information Technology Company LLC Job Area Engineering Group, Engineering Group > Software Engineering General Summary About Us Qualcomm is enabling a world where everyone and…
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