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Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.
$114,300 - $213,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Rust or other languages- Have in-depth knowledge with real-time embedded software philosophies and practices - Have expertise with Linux and RTOS- Review schematics, logic analyzer, and embedded software (bare-metal) trouble-shooting techniques- Familiarity with cryptography, threat modeling, and secure SDLC, TrustZone, bootloader.
$134,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building deep learning and transformer model. 8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company.
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1+ years of internship or coursework in deep learning, transformer architectures. Previous software engineer (internship/professional) experience with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, end-to-end model training, and sharding.
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Day-to-day, you'll be building cutting-edge models, working with transformer architectures for NLU, NLP, and an array of language models from LLMs to more traditional approaches. Experience applying transformer model architectures to NLU & NLP challenges is crucial.
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Masters with at least - years of experience; Strong software engineering practices in Python with machine learning development experience towards a product not just academical settings Strong Machine Learning background with deep understanding of different types of machine learning algorithms (, CNN, RNN, LSTM, Transformer, and Reinforcement Learning.
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At SpaceX we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Experience with EDA tools such as HDL simulators (e.g. VCS, Questa, IES), HDL Lint tools (e.g. Spyglass) and FPGA tools (e.g. Xilinx Vivado, Altera Quartus II.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design analog/mixed-signal blocks with a focus on transceivers (TIA, TX Driver) and broadband circuits interfacing with silicon photonics elements. You will need both deep expertise in mixed-signal and analog design and breadth across other engineering disciplines, such as photonics and digital electronics, semiconductor device physics, thermal/packaging, and machine learning.
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10+ years of experience in AI/Machine Learning and Generative/Transformer Models. Background in one or more of the following areas: deep learning, knowledge graph, information retrieval, natural language processing, optimization, image/text generation.
$180,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Modeling of passive on-chip elements such as inductor, T-coil, and transformer. CE AMS ACE PHY group supports analog mixed signal product development for Automotive and Ethernet PHY businesses in Marvell.
$128,160 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A PhD or MS in AI, Machine Learning, or a related field, with a deep understanding of large Transformer models. Imagine a workplace that thrives on creativity and innovation, where the dream of bringing science fiction to reality is the daily mission.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with larger transformer-based architectures for NLP, CV, ASR, or others. Experience deploying LLM models in cloud environments (e.g., OCI, AWS, Azure, GCP) and on-premises infrastructure.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Benefits: Our benefits package includes the best of what leading organizations provide, such as stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement. Qualifications 3-5 years of solid Product Management experience in cross-functional environment Experience in Ad Tech domain, preferably in Audience, Data Privacy, Identity or Regulatory compliance areas.
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Understand Transformer / Attention / GPU inference. Assel is a graduate of Harvard Business School and has 7 years of experience building products at FinTechs such as SoFi and Step and at large financial institutions when working at Ernst & Young.
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Deep experience in machine learning, deep learning, neural networks, and natural language processing. and hands-on experience with frameworks such as PyTorch, TensorFlow, Keras, etc. Develop highly scalable custom classifiers and models that leverage machine learning, deep learning, and algorithmic approaches for large-scale problems.
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transformer broadband jobs in Mountain View, CA
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