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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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Skills that the student will gain or get exposure to are: Python, PySpark, Databricks, AWS, FastAPI, DynamoDB, Machine Learning, A/B testing, Data Analysis, Feature Engineering, System design and architecture.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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As a Senior Machine Learning Engineer at CARIAD, Inc.'s SDV Hub, you will play a pivotal role in shaping the future of the automotive industry by developing innovative Generative AI and Machine Learning applications for software-defined vehicles.
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Job Description Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video.
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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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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.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Manage image data collection labs and work closely with the machine learning engineers to generate and organize new datasets. Familiarity with fundamentals of digital signal & image processing , computer graphics, computer vision, machine learning or computational photography.
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Scientific computing, protein-protein interface, Python, Git, protein structure-function, protein-protein interfaces, bioinformatics, machine learning, AlphaFold, ESM, Rosetta, RF Diffusion, MaSIF.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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The Foundation Model Infrastructure team, within the Machine Learning Platform Technologies organization, is the backbone of Apple Intelligence. Familiar with fundamental deep learning architectures such as Transformers and Encoder/Decoder models.
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Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
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Execute against initiatives on our R&D roadmap, including investigations of new approaches, architectures, and paradigms for advancing the state of the art in Data Science, Computer Vision, and Machine Learning techniques for geospatial data.
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machine learning jobs Title: data engineer big Company: Booz Allen Hamilton in Sunnyvale, CA
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