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We are particularly interested in candidates who are at the forefront of integrating artificial intelligence/machine learning into biology. They will establish an exciting and collaborative research program and join our top-ranked interdisciplinary graduate programs (see list-programs.
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Experience with image analysis, machine learning, and deep learning frameworks Pytorch, TensorFlow-Keras). For this position, we are seeking a demonstrated scientific leader with a consistent and outstanding record of creativity and performance in digital pathology or spatial ‘omics for cancer biology R&D, evidenced by peer reviewed publications in top tier journals, patent applications, and/or publicly available code repository.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Senior Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$320,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. The UCSF Breast Care Center (BCC) is a nationally recognized leader in breast cancer research.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Proactively build and maintain relationships with partner teams, including but not limited to Cyber Intelligence, Red Team, Insider Threat, and Hunt teams. At least 3 years of experience with Threat Intelligence Platforms (TIPs), Security Orchestration, Automation, Response (SOAR) or Security Information and Event Management (SIEM) tools.
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Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in data science- machine learning or artificial intelligence. The Department of Neurological Surgery is recognized by U.S News & World Report to be among the top two neurosurgery and neurology services in the country - and best on the West Coast.
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It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
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Exciting projects with real-world impact in the field of artificial intelligence and machine learning. At our company, we're passionate about pushing the boundaries of artificial intelligence and machine learning.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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artificial intelligence top tier machine learning jobs in San Francisco, CA
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