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Knowhow of Deep learning applications to Speech synthesis, LLM, and Speech-to-speech translations and hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, etc.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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Stable, long-standing market research firm is seeking a Business Intelligence Manager to produce dashboards analyzing viewer ship to large, well-known broadcast media clients. Title: Business Intelligence Manager.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Artificial intelligence, pathology, digital pathology, oncology, immuno-oncology, auto immune disease, neurodegenerative disease, improving medicine, companion diagnostics, precision medicine, solutions, R&D, computational pathology, predictive, deep learning, and software engineering.
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Kavaliro's client is a dynamic and innovative organization seeking a talented Hybrid Business Intelligence Analyst to join their team in Orlando, FL. This role offers the opportunity to work with cutting-edge technologies and contribute to impactful financial reporting and forecasting initiatives.
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Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, multi-modality. Proficiency in Python, and experience with deep learning frameworks such as PyTorch, Tensorflow/Keras, MXNet.
$102,340 - $132,440 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Modern Technology Solutions, Inc. (MTSI) is seeking a Artificial Intelligence / Machine Learning Intern to join our team in Huntsville, AL. Knowledge of deep learning techniques.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Deep understanding of lithium battery technology.
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Proficiency in one or more deep learning frameworks such as PyTorch or TensorFlow and at least one high-level language (Python or equivalent) STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members.
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