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Passion for and knowledge of renewable energy systems and energy marketsFluent in product development processes, milestones, and metricsStrong conceptual understanding of machine learning and AI systems Degree in Engineering (Mechanical, Electrical, etc.
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HSIO, a division of Amphenol, is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom/Artificial Intelligence/Machine Learning markets (Mobile Networks, Data Centers, Storage, Servers, Routers, Switches, etc.
$90,000 - $189,260 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 andOrthoCADdigital services.
$149,859 - $213,915 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is seeking a forward thinking, experienced Accelerator (including GPU) Product Platform Engineering Manager to join the Data Center Site Operations team.
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5+ years of experience in product management in Consumer-Facing mobile or web Internet companies - Broad technical knowledge and indepth understanding of machine learning, statistical modeling, algorithms, OCR and ASR, etc.
$122,360 - $246,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Product Platform Engineering (PPE) team is responsible for the overall performance of Meta’s production compute, storage, and accelerator platforms through their life-cycles in our data centers.
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Business Software, Developer Tools, Home & Educational Software, Tablets, Search, Advertising, Servers, Windows Operating System, Windows Applications & Platforms, Smartphones, Cloud Computing, Quantum Computing, Future of Work, Productivity, AI, Artificial Intelligence, Machine Learning, Laptops, Mixed Reality, Virtual Reality, Gaming, Developers, and IT Professional.
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10+ years experience in NPI (New Product Introduction) hardware development and/or validation, working with cross functional teams to deliver products to production. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated.
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Provide support to Global Finance, Product, Marketing, Sales and Operations teams in answering ad hoc questions, providing training on reports and dashboards, and providing and providing proactive analytics.
$190,500 - $225,400 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Global Product Marketing Manager will be responsible for driving growth and the full P&L for new technology in the HSIO Connector portfolio. We are currently seeking a high energy Global Product Marketing Manager to join our team.
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Provide technical mentorship on large scale data center projects and initiatives to global, cross-functional teams. Experience working across a diverse global organization and building partnerships with cross functional teams inside and outside of the organization.
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Drive complex accelerator technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling. Provide serviceability feedback on accelerator production hardware to engineering design teams.
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Bash, PHP, Python, or Perl scripting experience. This role will lead the subset of the PPE team that focuses on accelerator platform hardware. Key responsibilities include identifying systemic hardware, firmware, and tooling issues; engaging in hands-on problem solving; and collaborating effectively with cross-functional engineering and tooling teams to improve performance of the fleet.
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Experience with GPU and accelerator based platform hardware that operates in computing clusters. The role scope is focused on maintaining and improving the health of the accelerator platforms from operational testing into mass production through end-of-life.
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Manage other PPE team members through efforts that provide end-to-end lifecycle ownership (operational test through end of life decommissioning) of accelerator (including GPU) hardware platforms and associated new technologies in the data centers.
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machine learning jobs Title: product manager global
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