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Model optimization & ML Ops experience - knowledge distillation, hyperparameter tuning, distributed training, building efficient data loaders & image preprocessing pipelines. Image processing, graphics & ML / Computer Vision algorithms , e.g.: Stereo Depth estimation, Guided/Bilateral filtering, feature matching, style transfer, iterative algorithms, BLAS; Libraries such as OpenCV; ISP (demosaic, denoise, HDR etc.
$145,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with efficient deep learning and/or model optimization techniques such as quantization, NAS, distillation. You'll work across the entire ML framework/compiler stack (e.g. JAX, XLA, Triton, and CUDA), as well as system-efficient deep learning models.
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Experience with deep learning optimization for edge deployment, including quantization, pruning, and knowledge distillation. We're currently looking for research engineers with specialized skills in LiDAR, camera, and radar perception technologies to enhance our autonomous driving systems' ability to understand and interact with complex environments.
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In-depth expertise in machine learning and deep learning, notably in Foundation Model AI tooling, spatiotemporal machine learning, deep graph learning, general representation learning, model distillation, and related areas.
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Applications span Bosch's AIoT (AI+IoT) business domains such as autonomous driving, connected vehicles, Industry 4.0, IoT, and car multimedia. Understanding of backend web development technologies, such as Flask or Django.
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Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
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Requires skills and experience to involve: Extensive experience with PyTorch and Python programming languages; Robust experience in Deep and Machine Learning; Working knowledge of Computer vision, Model Quantization, and Knowledge Distillation; Working knowledge of model compression and model training; and Strong skills in High-dimensional statistical data processing and OpenCV.
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Research and apply cutting edge ML techniques, like LLM, multi-modal modeling, distillation, human-in-the-loop systems, etc. We leverage a wide range of ML technologies, such as LLM, multi-modal learning, distillation, etc to that end.
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Understanding of LLM fine-tuning, distillation, data generation, and prompt engineering across a large variety of tasks. As a Principal Engineer, you will drive the technical strategy, architectural design, and execution of quality in Vertex AI Search.
$271,000 - $399,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity, practical knowledge of quantization, distillation, and Vision Pipelines. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity.
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Develop state of the art model compression and scalability techniques using Numerics, pruning, distillation etc. Develop state of the art model compression and scalability techniques using Numerics, pruning, distillation etc.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency. Solid understanding of machine learning, deep learning (including LLMs) and natural language processing.
$138,900 - $256,500 a yearExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in generative AI concepts (e.g., LLMs, fine tuning, distillation, function calling and orchestration etc.) As the Engineering Director for AI Studio, you'll become a key driving component behind our mission to deliver the best possible experience for Generative AI developers.
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You have subject matter expertise and research in one or more of the following areas: Machine Learning (required), Large Language Modeling (required), Human Preference Feedback/Reward Modeling, Multimodal LLMs, Knowledge Distillation, Robotics.
$202,350 - $303,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Areas of interest cover the whole spectrum of audio and speech processing, and cloud-based and embedded ML solutions, including active learning and semi-/unsupervised learning techniques for acoustic and language modeling, knowledge distillation, learning from heterogeneous and mismatched audio data including data selection/augmentation/simulation, transfer learning, domain adversarial training, variationally autoencoder disentanglement, etc.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago
distillation job in Palo Alto, CA
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