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Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc. Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
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Deep, wide and current knowledge in machine learning and modern deep learning is preferred. The Machine Learning Team is responsible for the R&D of core algorithm-hardware co-design capabilities in d-Matrix's end-to-end solution.
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At Amazon, we're working to be the most customer-centric company on earth and the world’s best employer. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
$92,500 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Contributions to PyTorch, JAX, or other Machine Learning Frameworks. We are now looking for a Senior Deep Learning Software Engineer, for Algorithmic Model Optimization! As a Senior Deep Learning Software Engineer, you will be at the forefront of pushing the boundaries of these models and enabling their deployment at a larger scale with unmatched efficiency.
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We’re looking for a Software Engineer Advisor that is interested in leading software evolution and innovation within an Investment Technology team. Experience with risk and portfolio management systems – BlackRock Aladdin, Bloomberg AIM, Charles River a plus.
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Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaicmanufacturers for its high-performance, high-qualitysolarcells and modules.
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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NVIDIA is a Learning Machine. NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world’s leading SoC's and GPU's. Senior ASIC Verification Engineer page is loaded.
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You will work closely with cross-functional teams to develop robust and scalable solutions that will bridge the gap between hardware, machine learning, and user interfaces. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch.
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Bright Vision Technologies has an immediate opportunity for Principal Hardware Engineer at Santa Clara, CA. Job Title: Principal Hardware Engineer. Previous experience of working as an Application Engineer or any equivalent customer interacting role (i.e. ability to handle customers) is a must.
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The Neutronics Engineer is responsible for responsible for performing reactor design calculations that include core design and fuel cycle analyses. We are searching for a Neutronics Engineer to work with our engineering team and help us wrangle the neutrons.
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JOB REQUIREMENTS Looking for a Lead Data Engineer, Data Platforms who can operate across the enterprise to ensure on-time, high-quality delivery of products and features that directly drive our business.
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Gain exposure to all components of machine learning development lifecycle from data collection and transformation to deployment and product adoption. Research and implement cutting edge deep learning algorithms related to semantic segmentation, adversarial ML, one-shot learning, transformer architecture, LLMs, gen AI etc.
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The Senior Field Programmable Gate Array (FPGA) Design Engineer is responsible for the end-to-end FPGA deliverables across the entire robotic subsystems. Senior FPGA Design Engineer. Conduct engineer studies to understand the system performance, identify bottlenecks, and implement continuous improvements and optimizations.
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Title: machine learning engineer Company: Amazon in Santa Clara, Arlington, Tennessee
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