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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Responsibilities Collaboratively design and build an integrated ecosystem of resources for imaging research Contribute to the development, deployment, and integration of new machine learning models Design and implement robust and efficient data pipelines for ingesting, processing, and cleaning large pathology and cellular imaging datasets (e.g., whole-slide histology images, image annotations, slide/patient-level metadata, clinical endpoints.
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This role utilizes working knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology.
$149,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in machine learning, data engineering, and statistical analysis. Collaborate with data scientists, data engineers, and other stakeholders to integrate machine learning solutions into products.
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Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready. Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering.
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Machine Learning EngineerAI PracticeZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing.
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Enable workflows to select data from a defined cohort of patients, load a desired subset of data, and train or run machine learning models. Experience with common bioinformatics and machine learning tools.
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We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. Principal Machine Learning Engineer, Imaging AI.
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Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. Your work will be supported by massive data from our autonomous fleet to deliver the best autonomous driving solution.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in building and deploying machine learning models (e.g., scikit-learn, TensorFlow, PyTorch). Prior experience with developing machine learning pipelines for histological and/or cellular imaging tasks is preferred.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. 3 years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Provide technical support to other engineers and data scientists in AI and Machine learning methodologies.
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The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions aimed at data centers. Hands-on experience with code generation implementation/optimization leveraging compiler frameworks such as LLVM, GCC, or machine learning compilers such as TVM, Glow, XLA or TensorFlow.
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data machine jobs Title: machine learning engineer in National City, CA
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