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And deep learning libraries (TensorFlow, PyTorch) along with experience using simulation and visualization tools. Proven experience in applying deep learning in computer vision, preferably in the context of autonomous vehicles or robotics.
$188,640 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery. + Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering. Profound knowledge in machine learning, statistics, and big data engineering.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for an experienced site reliability engineer (SRE) to join the IT Operations Corporate Engineering team to build and scale our identity and access management tooling. Deep domain-knowledge with prominent cloud identity provider(s): Okta, Duo, Google Workspace, Azure AD, Ping, etc.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Demonstrated experimental experience with one or more of the following specialities: atomic physics systems, diffraction limited optical systems, lasers (from UV to IR), quantum information science, quantum sensors, atomic clocks, cryogenic systems.
$151,471 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Deep understanding of data security practices, access controls, encryption, and compliance. Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake.
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Proven track record of leading and managing science teams handling complicated science/engineer problems- Expert knowledge of machine learning algorithms and techniques. - Collaborate with cross-functional teams in SDS and in the broader Customer Service organization, as well as with science and engineer partner teams in Amazon Last Mile to align on product science strategy and approaches.
$196,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle’s infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
$227,500 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Critical skills in a few key areas:Digital signal processing, both mathematical foundations and bench experience in either image processing, RF, or opticsBackground in control theory and implementation of control theory algorithmsProgrammatic data acquisition from oscilloscopes and/or spectrum analyzers.
$200,321 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
data science engineer deep learning jobs Company: Nationwide in Seattle, Highland, Indiana
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