• FPGA Engineer

    quadric.io, Inc (Burlingame, CA)
    …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...skills across the hardware-software stack - running and debugging Neural Networks in HW and SW development… more
    quadric.io, Inc (06/09/25)
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  • Software Engineer, Sensors

    Meta (Sunnyvale, CA)
    …tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor ... PyTorch or TensorFlow 8. Familiarity with modern machine learning algorithms, specifically Convolutional Neural Networks (CNN), Recurrent Neural Networks more
    Meta (08/01/25)
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  • Machine Learning Engineer

    Unlimit Ventures (San Diego, CA)
    …SciPy, etc.). + Understanding of a wide range of ML algorithms (SVMs, neural networks , clustering algorithms, etc.) and ensemble methods. + Experience with ... + Deep learning expertise (knowledge of designing and implementing multiple neural network architectures, experience with transfer learning techniques,… more
    Unlimit Ventures (06/04/25)
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  • Senior Engineer, AI Research

    Qualcomm (San Diego, CA)
    …solving skills + Experience with LLM, LVM, LMM models, and other neural network architectures. + Excellent interpersonal, written, and oral communications ... first-in-the-world research and proof-of-concepts in areas such model efficiency, neural video codecs, generative ai, video semantic segmentation, federated… more
    Qualcomm (05/16/25)
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  • Senior Machine Learning Engineer

    Meta (Menlo Park, CA)
    …ML infra) leveraging artificial intelligence, machine learning, deep learning, reinforcement learning, neural networks , data regression. 3. Develop ML models, ML ... 18. 11. Developing machine learning ranking models with Two Tower Sparse Neural Networks , Multi-Task Multi-Label Neural Networks , and ID-based Two… more
    Meta (08/08/25)
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  • Machine Learning Research Engineer (1 Year Fixed…

    Stanford University (Stanford, CA)
    …in industry. * Access to unique datasets spanning artificial and biological neural networks * State-of-the-art computing infrastructure * Competitive salary and ... as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we seek exceptional individuals with… more
    Stanford University (08/07/25)
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  • Research Engineer - Mobile Co-design

    Meta (Burlingame, CA)
    …high energy efficiency. The mobile optimization including but not limited to neural network architecture innovation, model compression, and low bits inference ... on ARVR hardware which has off-the-shelf SoCs and/or in-house neural network accelerators. You will apply software...SIMD and deep learning algorithms with techniques such as neural networks architecture search, pruning, and low… more
    Meta (08/01/25)
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  • Senior Data Scientist (Product)

    Eliassen Group (Sacramento, CA)
    …with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally ... in applied machine learning, with 2+ years focused on deep learning and neural network applications. + Experience in Banking, Payments or Financial Services… more
    Eliassen Group (07/15/25)
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  • Staff AI/ML Engineer - Onboard Embodied AI

    General Motors (Mountain View, CA)
    …autonomous vehicles. We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using ... scalability, robustness, and safety-critical operation. + Champion innovation in neural network architectures, training methodologies, and inference optimization… more
    General Motors (08/02/25)
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  • Principal AI/ML Engineer - Onboard Embodied AI

    General Motors (Mountain View, CA)
    …autonomous vehicles. We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using ... scalability, robustness, and safety-critical operation. + Champion innovation in neural network architectures, training methodologies, and inference optimization… more
    General Motors (05/21/25)
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