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Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow). Our global team of 30 experts in computer graphics, AI, and art includes alumni from MIT and Harvard, as well as veterans from Nvidia, Microsoft, and Google.
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Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow. Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow.
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Python/Golang, and have solid programming skills( algorithms and data structures);- Familiar with deep learning frameworks (TensorFlow/Pytorch);- Ability to work independently and complete projects from beginning to end and in a timely manner;- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer.
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EInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Tensorflow, Jax, PyTorch or other deep learning frameworks; Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, FPGA, ASIC) We are doing world-class work in machine learning, computer vision, natural language processing, speech and audio, and knowledge, and transferring our work into products, which hundreds of millions of users worldwide use.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
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3+ years experience in instructional design and developing learning programs using multiple media, including working knowledge of eLearning and multimedia authoring tools (such as Adobe Captivate and Articulate Storyline), and LMS administration experience.
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You and your team will help advance NVIDIA's leadership in applying deep learning to tackle real-world problem in Autonomous Vehicle (AV) domain and other such embedded opportunities. and NVIDIA Deep Learning Accelerator (NVDLA) for Embedded and further build NVIDIA Inferencing story.
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Master one of several mainstream machine learning development framework such as TensorFlow, PyTorch, MXNet. You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Proficiency with Enterprise VC solutions (preferably Google Meet, but also Zoom, Microsoft Teams, Bluejeans, Cisco Telepresence, etc.) Cultivate the partnership with Google to resolve Google Meet issues and introduce features that enhance the user experience.
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Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch). Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging learning environment that incorporates Restorative Practices, social emotional learning, and research-based strategies.
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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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