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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Infrastructure Engineer, Model Inference”. A match may be a passing mention rather than the job itself. Titles only.
40 roles across 41 listings · show every listing · page 1 of 2
…research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We…
…have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and…
…infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and…
…Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented…
…impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern…
…machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering…
…Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge…
…WHO YOU ARE - Bachelor's degree in Computer Science, Engineering, or related field - Master’s degree in Computer Science, Mathematics, Machine Learning or a…
…models that will transform the biopharmaceutical world as we know it. You will draw upon your existing engineering and Machine Learning experience whilst learning…
…Storage and computation efficiency AI model evaluation and productionization infrastructure Collaborate with data scientists and machine learning engineers to understand their computational and data…
…We design the systems, infrastructure, and tools that enable Apple’s next generation of AI-driven experiences — from on-device middleware and distributed inference…
…distributed systems, cloud-native infrastructure, and machine learning platforms. You’ll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions…
…teams of researchers or engineers in ML infrastructure or foundational research. - Deep technical expertise in representation learning, embedding models, or vector retrieval systems. - Familiarity…
…focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for…
…and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation…
…You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and…
…machine learning principles, and enterprise infrastructure. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to…
…The Ads Identity & Audiences team is revolutionizing ad experiences by utilizing advanced machine learning models for identity resolution and precise behavioral and contextual audience…
…Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch) Experience with NCCL…
…Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse…
…research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We…
…AI applications, like Large Language Model, for training and inference Strong background in building or leading cloud computing infrastructure and technologies Widely considered to…
…machine learning concepts and model serving - Familiarity with distributed systems concepts - Experience with basic monitoring and logging tools - Interest in ML/AI infrastructure and…
…to optimize efficiency and latency of model inference for compute boards selected by our customers - Work on model pruning and quantization, and support deployment…
…building scalable backend systems for training and evaluation of machine learning/deep learning models Proficient in relevant programming languages, like Python or Go Strong…