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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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As a Senior Associate in the role of Machine Learning Scientist specializing in Natural Language Processing (NLP), you will be tasked with the application of advanced machine learning techniques to intricate tasks such as natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems.
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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In this role you will work at the intersection of Machine Learning and Data Engineering. Capital One’s commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the MLCOE works together to employ cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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We are seeking an experienced Machine Learning Scientist with a strong background in information retrieval and natural language processing (NLP) to help lead our AI initiatives. We specialize in cutting-edge technologies, with a focus on delivering impactful machine learning solutions for real-world challenges in natural language processing.
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We are seeking a highly skilled and experienced Senior Staff Machine Learning Engineer to join our team. Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
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Optomi, in partnership with a leader in the family entertainment industry, is seeking a Computer Vision / Machine Learning Engineer to join their growing team! Machine Learning Engineer.
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As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization.
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machine job Title: machine learning in Jersey City, NJ
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