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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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As a Sr Machine Learning Developer at UKG, you’ll be part of the Data Science development team where you will work on the next generation AI Platform. UKG is looking to hire a Sr Machine Learning Developer to join our extremely talented Data Science development team.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Master s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Invent, analyze, design, develop and optimize real time VR and AR computer vision algorithms in areas related to 3D reconstruction, SLAM, object detection and tracking, sensor fusion and camera calibration.
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4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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PhD in Neuroscience/Computational Neuroscience/Cognitive Science/Psychology, Human Factors Engineering, Human-Computer Interaction, or a related field. Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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sensor engineer machine learning computer science jobs Company: Altamira Technologies Corp
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