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A love of research publications in the machine learning and software engineering communities. We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
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Hands-on experience in deploying machine learning algorithms in real hardware. Proven expertise in deep-learning frameworks, e.g., PyTorch, Tensorflow, etc. Design, prototype, and implement robust algorithms for perception problems involving the key areas of deep learning for object detection, segmentation, and multi-sensor fusion.
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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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ESSENTIAL DUTIES AND RESPONSIBILITIES:Develop and maintain software applications, Customized Data Decoders (ETL: Extraction, Transformation, Loading), web-based data analytics & visualization applications and machine learning models for machine-generated data sets.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
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5+ years' industrial experience in building machine learning and deep learning-based software solutions in a production setting. We are looking for a Senior Machine Learning Engineer - Knox Cloud to join the Knox Cloud Service team and help us shape future of our role in the machine learning domain.
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As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
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This is a unique opportunity to lead a cutting-edge initiative at Walmart that merges SRE practices with machine learning to redefine the standards of software deployment in the retail industry.
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Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms. Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data.
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With our partners at John Deere, we have the ability to bring innovative computer vision, machine learning, robotics, and product management solutions to scale production, maximizing their potential impact.
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Experience with machine learning, deep learning, NLP, and computer vision. MS or BS with in Computer Science, Computer Engineering, or equivalent experience in AI, deep learning and related software development preferred.
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The team works with various other business units within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure & system's needs.
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Staff Applied Machine Learning Software Engineer Generative AI. Optimize deep learning inference pipeline including graph compilation using AMD AI compilers. You will explore and improve upon state - of - the - art research in both academia and industry and innovate in the areas of software development, model optimization an d compression algorithm s for Generative AI applications such as LLMs, Stable Diffusion and Multi Modal Models.
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machine learning software jobs Company: Facebook in Santa Clara, CA
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