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At DSA you will become an industry-agnostic automation expert and experience extreme project diversity as you build integrated systems including IIOT, data acquisition, instrumentation, automated test equipment, process controls, quality controls & inspection, motion controls, vision systems, robotics, machine design & build, AI & machine learning, and real-time visualization.
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Experience with technical subjects (e.g., large language models, machine learning, computing hardware, Artificial Intelligence safety, biological design tools, biosecurity, cyber security, defense innovation, technology and acquisition, defense cost analysis, etc.
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We seek researchers with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the physical sciences particularly physics, astrophysics, and cosmology.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$205,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Mechatronics Design Engineers are responsible for all aspects of laboratory, product, manufacturing & test automation, including hardware and software integration including Real-time and Windows OS, National Instruments, LabVIEW, FPGA, Rockwell, PLC, HMIs, SolidWorks & Python development, as well as pioneering, building, and leading mechatronics projects to creatively support client needs.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
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Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a PhD degree in computer vision, machine learning, computer graphics, artificial intelligence, applied mathematics, or related areas.
$86ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.
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PSC advances science across a wide spectrum of fields including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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Experience in SLAM, computer vision, machine learning/deep learning. Experience with modern data structures and libraries used in perception (e.g. OpenCV, PCL, Ceres, etc.) Experience in SLAM, computer vision, machine learning/deep learning.
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Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
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Content development is focused on the following learning objectives: product knowledge, selling/customer service skills, nutrition, targeted health, operations, policies and procedures (legal requirements), and new-hire curriculum (Associate, Store Manager, District Manager, and Regional Manager.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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machine learning jobs Title: intern Company: Seagate Technology in Pittsburgh, PA
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