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Expertise with one or more machine learning, deep learning, or statistical modeling tools such as R, scikit-learn, and JupyterLab. The Adobe Experience Platform (AEP) Architecture team is looking for a Principal Scientist, Machine Learning to help us both architect and build new intelligent features for our platform.
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7+ years in machine learning algorithms, deep learning, and statistical modeling. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
$127,400 - $141,800 a yearFull-timeExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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Analyzed big data using machine learning or statistical modeling methods. The position requires experience with large data analysis, strong statistical and machine-learning background, and good knowledge of Bioinformatics algorithm and tools for NGS analysis.
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Experience with modeling and analysis of machine learning accelerator architectures. Collaborate with machine learning teams to construct and evaluate the performance of machine learning workloads.
$180,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Technical Artist in this role, you will focus on improving the visual quality and development of 3D graphics used to train computer vision and machine learning algorithms through content, lighting, rendering, tools, pipelines, and innovative solutions.
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Our GPU Architect team delivers whole system architecture-level design for Samsung's current and next-generation mobile GPU. Depending on the functional discipline, they're responsible for anywhere from early-stage architectural exploration, research work focusing on graphic and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Introduce and enforce best engineering practices, uphold engineering quality standards, and streamline machine learning development and deployment processes. Establish a clear vision and executable strategies for different machine learning component teams.
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Understanding of the Google Ads ecosystem and machine learning concepts. Machine learning experience. As a Technical Program Manager, you will lead and manage YouTube’s ad inventory optimization and user modeling programs.
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Background and passion for machine learning, AI, and/or statistical modeling. RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Software Engineer - Data Engineering Analytics Engineer.
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Technology Leadership: Stay abreast of emerging technologies and trends in data analytics, business intelligence, Machine Learning and Generative AI. Evaluate and implement cutting edge tools to enhance analytical capabilities, as appropriate.
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A basic understanding of machine learning or artificial intelligence; but more important is the ability to learn fast with all the educational resources we will provide. You will spend time getting familiar with the machine learning developer persona and learn the vernacular and needs of ML development so you can anticipate how to solve their problems.
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Machine learning, language modeling in particular, Analyze research data using statistical techniques, modeling, or other appropriate methods. Experience in Langauge Modeling: Fine-tuning LLMs (Large language modeling.
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Minimum 6 years of industry experience in data science and machine learning, preferably in risk, payments or financial services domain. This position requires a person who has experience with developing machine learning models and performing advanced analytics preferably in the risk domain.
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We apply Artificial Intelligence and Machine Learning technologies across the Netskope cloud security platform. Design, develop and support large-scale data collection, data analytics systems, machine learning model pipelines, tools, and micro services leveraging public cloud infrastructure.
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modeling machine learning jobs in Cupertino, CA
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