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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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Similar Jobs (5) Senior Platform Software Engineer, AI Server - GPU locations 2 Locations time type Full time posted on Posted 9 Days Ago Principal Platform Software Engineer - Platform Architect locations 2 Locations time type Full time posted on Posted 16 Days Ago Senior Deep Learning Systems Software Engineer - AI Infrastructure locations 2 Locations time type Full time posted on Posted 30+ Days Ago.
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Northrop Grumman Mission Systems is seeking a Principal / Sr. Principal Magnetic Bearing Lead Engineer based out of Sunnyvale, CA. This role is part of the advanced development team that will be developing next generation technology and architecture for propulsion and power generation machinery for US Navy submarines.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
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You'll be partnering with product management, user experience, customer success, machine learning and other engineering teams to identify, define and build elegant solutions.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Machine Learning and AI. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
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Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Model deployment and serving technologies, such as Triton inference services, ONNX, Torchscript, Docker, or Kubernetes for serving machine learning models in production environments. Experience with Triton Inference Server, inferring Deep Learning models and machine learning.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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As a Principal Software Engineer on our Prisma Access Cloud Service team, you will design, develop and deliver next-generation technologies. Design, develop and execute test automation to test software features on our next-generation security platform as part of our Prisma Access Cloud Service.
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Staff Applied Machine Learning Software Engineer Generative AI. You will work on next generation framework software, guiding other senior developers and domain experts.
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Supermicro is seeking a top-notch hands-on Software Engineer who will develop user interfaces using Django and API calls (Redfish, and other Open source projects). Job Segment: Cloud, Test Engineer, Embedded, Software Engineer, Testing, Technology, Engineering.
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Experience with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker), or Azure Machine Learning, MLFlow, Kubeflow, etc. Work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology.
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Facility with classical methods of machine learning: regression (linear, logistic), regularization (ridge, lasso), classification (SVM, k-nearest neighbors), ensemble methods (decision trees, random forests, boosting, gradient boosting.
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