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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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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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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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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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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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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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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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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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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 20 days ago - UpvoteDownvoteShare Job
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Our engineering team is looking for an experienced MLOps Engineer who is passionate about automating machine learning pipelines. Your work will help researchers make breakthroughs in the field of machine learning as well as bring new innovations to Bosch business units at scale.
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We are seeking an Embedded DSP Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision (CV), machine learning (ML), and imaging (ISP), Audio, Graphics and Display, through efficient implementation of algorithms on custom DSPs, and HW/SW partitioning and co-design of complex embedded algorithms into custom DSP + HW accelerators.
$173,000 - $249,000 a yearFull-timeExpandApply NowActive JobUpdated 3 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.
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Generate and manage datasets for large-scale machine learning, focusing on learning from genomics specific applications. Design and implement machine learning techniques to tailor foundation models for downstream genomic specific tasks.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
machine learning jobs Title: devops engineer Company: Twitter in Milpitas, CA
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