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The RoleAs a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. A PhD degree in Machine Learning or Deep Learning is a massive plus.
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As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modeling, forecasting, and etc.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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The role requires proficiency in patent prosecution, with a preference for expertise in electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. 5+ years experience with applied Machine Learning or Deep Learning.
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Research Scientist III - Statistical Machine Learning, Computational Biology, and Genomics. Thus, experience in any of the following areas is of interest: Genetics, Statistical Genetics, NGS data analysis, Bioinformatics, Machine Learning, Probabilistic Modeling, Statistics, Computer Science, and Optimization.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms. Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc.
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This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:HealthYou'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure.
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This position will work with a team of excellent research scientist and machine learning engineer who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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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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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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machine learning jobs Title: intern Company: Autodesk in Seattle, WA
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