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What are we looking for in our FEA Engineer / Software Engineer / Machine Learning Engineer? The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training ML models, and a proven record of deploying models in relevant applications such as computer vision.
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These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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You will also build, test, and scale statistical and machine learning models that measure and amplify impact across the entire advertiser journey from acquisition to growth and retention.
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Experience in machine learning, deep learning/LLM, information retrieval, natural language processing. As part of this group, you will be doing large scale machine learning and deep learning to improve Open Domain Question Answering and developing fundamental building blocks needed for Artificial Intelligence.
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The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing! MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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AIML - Sr Machine Learning Engineer, Data and ML Innovation As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding.
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Tesla's Prototype Machine Shop is seeking a skilled and highly motivated Machine shop supervisor to join the team and contribute to our mission to accelerate the world's transition to sustainable energy.
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As a Machine Learning Engineer working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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Solid background in machine learning, natural language processing (NLP), computer vision, major deep learning framework. Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
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We’re searching for a Machine Learning Engineer to join Aurora’s Maps ML team. Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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machine learning jobs Company: Gotham Enterprises Ltd in Mountain View, CA
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