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A law firm is seeking a highly skilled Machine Learning Technology Specialist to join its team in San Diego, CA. The ideal candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting interviews with inventors.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures. We are seeking individuals passionate in areas such as deep learning, machine learning, computational chemistry, graph neural networks, natural language processing, and generative modeling.
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Proven experience (5+ years) as a Data Scientist, with a focus on data modeling, predictive analytics, and machine learning. 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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You will work as part of a cross-functional agile team that includes data scientists, machine learning engineers, software engineers, designers, and product managers. 1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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We are seeking candidates with expertise in machine learning (especially deep learning) and network approaches, to work on systems immunology research funded by a NIAMS P50. The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills.
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Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Key Skills: Model Engineer, Artificial Intelligence, Machine Learning, Data Engineering, Deep Learning Frameworks, Debug, Optimize, Autonomous Vehicles, Functional Programming, Neural Networks, CNNs, DNNs, RNNs, GANs.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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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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As an Enterprise ML Developer, we seek an expert in machine learning to help us extract value from our data. Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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The Mathematics and Computer Science Division at Argonne National Laboratory seeks self-motivated and independent Postdoctoral researcher to develop and apply state-of-the-art probabilistic machine learning techniques for the development of efficient and robust surrogate models for scientific machine learning applications.
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machine learning jobs Title: sr data scientist Company: Humana
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