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3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred) 5+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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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 the Principal Data Scientist, you will oversee end-to-end implementation of Machine Learning products in the Ads. You will guide a scrum team and collaborate with an accomplished team of Product Managers and Technologists to implement ML/AI solutions at scale.
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Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch. About this role:The Senior machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Responsibilities:Research, develop and evaluate state-of-the-art machine learning algorithms for the next generation AI/ML based Computer Graphics and Robotics for 3D Animation. This internship is a great opportunity to gain valuable experience in exciting entertainment industry applications as well as cutting-edge research experience in the field of computer graphics, animation, and character control with latest AI & Machine Learning technologies.
$45 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience and a strong analytical background, with a degree in computer science, engineering, machine learning, artificial intelligence, deep learning, algorithms, statistics, or a similar field desirable.
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The job requires an understanding of the signal processing, Fourier optics, optical physics, modern optimization and machine learning algorithms, and C. Experience in scientific simulation, numerical methods, image processing, optimization, computational geometry, machine learning, data sciences is a good plus.
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Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. The AI / Machine Learning team is building the industry's leading Machine Learning models for use cases at scale.
$144,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The Denali Secure SSD with added machine learning-based data protection will be available in Summer 2021. When Phison’s E12DC Crypto-SSD is paired with paired D3E, the collaborative cybersecurity solution relies on machine learning, deception detection, and a family of threat sensors to identify security anomalies and actively respond with integrated data defense for industry-leading protection.
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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.
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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machine learning jobs Title: principal Company: Commscope in Milpitas, CA
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