• Senior Deep Learning Performance Architect

    NVIDIA (Santa Clara, CA)
    …experience or PhD and 3+ years of experience in Computer Science, Electrical Engineering , Computer Engineering , or related field + Strong foundation in Deep ... and parallel programming models such as CUDA + Experience with deep neural network training, inference and optimization in leading frameworks (eg Pytorch, JAX)… more
    NVIDIA (12/04/25)
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  • Sr. Applied Scientist, Classification and Policy…

    Amazon (Sunnyvale, CA)
    …responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and ... effectively with senior management as well as with colleagues from science, engineering , and business backgrounds Being a cultural leader that ensures teams are… more
    Amazon (12/02/25)
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  • Nvidia 2026 Internships: Deep Learning - US

    NVIDIA (Santa Clara, CA)
    …experience related to the following areas could be required : Deep Neural Networks, Linear Algebra, Numerical Methods and/or Computer Vision, Software Design, ... a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering , Computer Engineering , or a related field, for the entire duration of the… more
    NVIDIA (12/01/25)
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  • Nvidia 2026 Internships: Autonomous Vehicles…

    NVIDIA (Santa Clara, CA)
    …field include: Autonomous Vehicles + Developing and training state-of-the-art Deep Neural Networks for path generation + Collecting training datasets and real-time ... a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering , Computer Engineering , or a related field, for the entire duration of the… more
    NVIDIA (12/01/25)
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  • Senior Software Architect

    NVIDIA (Santa Clara, CA)
    …clouds, and more. What we need to see: + B.Sc/ M.Sc in Computer Engineering , Computer Science or Electrical Engineering or equivalent experience. + 5+ years ... by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown… more
    NVIDIA (11/27/25)
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  • Sr. Applied Scientist, SPB Advertiser Guidance

    Amazon (Palo Alto, CA)
    …into production. Key job responsibilities - Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance. - ... multi-agent orchestration frameworks and workflows. - Collaborate with peers across engineering and product to bring scientific innovations into production. - Stay… more
    Amazon (11/26/25)
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  • Data Scientist 4

    Oracle (Sacramento, CA)
    …by leveraging Image, Video and Text Generative models and neural networks. **Responsibilities** **Responsibilities:** + Participate in-depth research on Media ... media content creation process and its component workflows. + Collaborate with engineering and product teams to integrate data-driven features into cloud services. +… more
    Oracle (11/25/25)
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  • Consulting Engineer Signal Image Processing

    Northrop Grumman (Mcclellan, CA)
    …utilization includes detection and estimation theories, speech processing, and neural networks; electromagnetic and acoustic effects on signals, and/or implantation ... a Consulting Signal Processing Engineer:** + 16+ years of Engineering experience with a Bachelors in Science in a...in Science in a STEM discipline; 14+ years of Engineering experience with Masters; 12 Years with a PhD… more
    Northrop Grumman (11/25/25)
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  • AI/ML Engineer Intern - Generative AI, PhD…

    LinkedIn (Mountain View, CA)
    …is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the ... + Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering , machine learning, or related technical field and returning to the… more
    LinkedIn (11/25/25)
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  • Senior Generative AI Research Engineer

    NVIDIA (Santa Clara, CA)
    …not just building the future, we're generating it. Our Cosmos generative AI engineering team is pushing the boundaries of what's possible across multimodal learning, ... agents, diffusion models, autoregressive models, VAE/GAN architectures, retrieval-augmented generation, neural rendering, or multi-agent systems. + Our models are… more
    NVIDIA (11/24/25)
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