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Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training. 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow). The ideal candidate for this role has a combination of strong hands-on engineering skills, extensive industry experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment.
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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.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$338,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.) Good foundation in Machine Learning (ML), Deep Learning, and NLP.
$169,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc. The role: Machine Learning Computer Architect.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We also offer a Federated Machine Learning solution for cross-silo training for data privacy sensitive applications. FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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Leveraging state of the art machine learning/econometrics techniques together with PayPal’s huge proprietary database you will predict and quantify account-level credit risk which will drive PayPal’s credit-related loss reserves.
$204,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data.
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Familiarity with deep learning, reinforcement learning, and other machine learning techniques, and the ability to apply them to real-world problems. World Model: Create and maintain the vehicle's world model by integrating sensor data to enhance the end-to-end simulation capabilities of autonomous driving.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Reporting to the Learning & Development Manager, the Training Administrative Coordinator is responsible for the continued implementation and coordination of the agency’s Learning Management Systems, this role includes ensuring all staff and volunteers have access to educational courses and maintain compliance with mandated continued education requirements.
$30.8 an hourFull-timeExpandApply NowActive JobUpdated Yesterday
training machine learning jobs Company: Dice in San Jose, CA
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