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Our team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference. Knowledge in using at least one deep learning framework, e.g. Tensorflow, Pytorch, JAX. Be able to understand deep learning algorithms, e.g. computer vision, NLP, behavior planning.
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And machine learning including Deep Learning frameworks like TensorFlow/PyTorch. You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general.
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5 years of experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 3 years of experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deep knowledge of Autonomous Driving Behavior includingVarious formats of maps (rasterized, vectorized) Diffusion modeling: different forms of guidance, sampling optimization, probability estimation Transformer Decoding Flow-based, VAE, and RNN-based generative approaches Prediction vs Planning Marginal vs Conditional vs Joint Open vs Closed loop Imitation Learning approaches.
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
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Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as Natural Language Processing, Multimodality, Artificial Intelligence and Machine Learning.
$173,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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More specifically, you will provide thought leadership on and lead strategic efforts in Computer Vision (CV) and Machine Learning (ML) areas for Ring and Blink, covering themes including but not limited to 3D vision, SLAM, Classic Deep Learning, and Generative AI, and work with Product, Science, and Engineering teams to deliver short- and long-term CV/ML solutions in production for optimized edge-based solutions to large-scale models.
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2+ years of experience as a developer, data scientist or machine learning engineer. Hands on SQL/Presto/BigQuery/Redshift experience. Experience with data visualization tools (e.g. Grafana, Looker, Tableau, DataStudio) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA.
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Skills Required: Requires three (3) years of experience with the following: Python; PySpark; Deep Learning; Machine Learning; Time Series Analysis and Forecasting; Statistics; one (1) of the following financial products: equities, bonds, or commodities.
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Participate in cutting edge research in artificial intelligence and machine learning applications, especially with respect to problems in computational chemistry and material science. Programming experience with TensorFlow or similar Machine Learning/Deep Learning frameworks.
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Solid understanding of machine learning, deep learning (including LLMs) and natural language processing. Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2 years of experience with Machine Learning (ML) algorithms and tools (e.g., TensorFlow), Artificial Intelligence (AI), deep learning or natural language processing. In this role, you will aim to make OpenXLA the best place for Machine Learning (ML) acceleration innovation.
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machine learning jobs Company: Robert Half in Palo Alto, CA
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