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Fluency with Python and data analysis using modern frameworks for deep learning Pytorch, TensorFlow-Keras). As a Principal AI Scientist, you are expected to: Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are seeking a highly motivated scientist with expertise in digital pathology, including image acquisition and analysis using cutting edge deep learning technology. and machine learning and deep learning frameworks (e.g. TensorFlow, Keras, PyTorch.
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You might choose to go deep in analysis and research or build machine learning models to automate our operations, but like your teammates, you'll make a habit of working across the stack.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren't yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience using machine learning/deep learning frameworks such as TensorFlow and/ or PyTorch. Magnifi is seeking a Senior LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
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Coursework or hands-on experience in building advanced machine learning techniques, including GBM’s, deep learning models, embeddings, Graph Neural Networks (GNNs), transformers, etc.
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Job DescriptionAs a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art.
$166,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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5+ years working with machine learning algorithms, deep learning frameworks, and common data science libraries. inPowered s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in building deep learning models such as CNN, RNN, LSTM and GANs. Strong implementation experience with a variety of high-level languages (e.g. Python) and frameworks (PyTorch, Keras, TensorFlow) and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
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Strong proficiency with a deep learning framework such as TensorFlow or Keras. Top 3 Required Skill Sets: Deep understanding of machine learning algorithms and methodologies, Strong proficiency with Python and machine learning model development, Collaboration experiences with software engineers.
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Hands on with Deep learning frameworks like Keras, Pytorch, TensorflowStrong communication and presentation skills with the ability to present analyses to a diverse group of stakeholders including data scientists, creatives, and marketing leaders.
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You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning. In Emerging ML, you will work at all phases of the data science lifecycle, including:Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
Full-timeExpandApply NowActive JobUpdated 6 days ago
deep learning scientist jobs in San Francisco, CA
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