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Google Cloud High Performance Computing (HPC) Machine Learning (ML) Networking is responsible for innovations and optimizations of the networking stack to make Machine Learning High Performance Computing (HPC) workload performant on Google Cloud Platform (GCP) and in Google production.
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Responsibilities Lead the team in boosting networking performance for Machine Learning and HPC applications in Google Cloud and production. Experience with Networking Protocols, Linux, Machine Learning Infrastructure, and High Performance Computing (HPC.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Mentor and coach the team in engineering best practices including task management, Gantt charts, root cause analysis, circuit / PCB design, and PCBA, manufacturing.
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Experience with programming pipelines for training, validation, and inference of machine learning models in Python (for example, using pytorch or tensorflow) is preferred, or any other similar packages.
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Experienced with web application development, Unix/Linux environments, distributed and parallel systems, data structures, machine learning, information retrieval, natural language processing, networking, developing large systems or security software development.
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As a Software Embedded Engineering Architect, you'll gain experience as an embedded software architect with strong data science skills and have the opportunity to develop and deliver enterprise-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions across the client devices portfolio.
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Stay up-to-date with emerging trends and technologies in robotics, machine learning, and UAS technology. Formulate algorithmic and machine learning approaches to solve data analysis and target localization and classification tasks.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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As the engineering manager, you will lead the team of engineers with expertises spanning across machine learning, neutral language progressing, and backend web development. We are looking for an Engineering Manager, International Search, to join our Search team at Etsy, lead our International Search team and grow our outstanding machine learning (ML) engineers.
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Strong technical background in data engineering, machine learning, statistics, and AI technologies. Overview:We are seeking an experienced and visionary Director of Platform Engineering - Data Infrastructure to lead our data infrastructure team.
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Experience in autonomous and collaborative systems, hypersonics, calibration of radar sensors, or Artificial Intelligence / Machine Learning. You will drive innovation and perform critical radar system trade studies, resolve complex signal processing problems, and advise program and engineering management teams in pursuit of organizational business targets.
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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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As a Reliability Engineer, you will lead new product introduction (NPI) reliability related activities between our Engineering teams, Contract Manufacturers (CM), and suppliers for Machine Learning hardware, identifying and managing risks, and clearly communicating project deliverables and status to stakeholders.
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Working experience with IoT, data analytics, artificial intelligence, machine learning, etc. A good degree with a major in Electronics Engineering or a related field. Hands-on experience in developing, implementing applications, principles and programming in areas of embedded systems, IoT/IIoT, control systems, etc.
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machine learning jobs Title: engineering
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