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Currently pursuing a PhD degree in Computer Science, Computer Security, Machine Learning, or a related technical discipline. Research experience in computer and network security such as Threat Detection, Threat Hunting, Anomaly Detection using Machine Learning, or engineering experience in building systems for such purpose.
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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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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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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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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-timeExpandUpdated Today - UpvoteDownvoteShare Job
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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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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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Through a safe human-machine interface (HMI), ADAS increase vehicle and road safety. Proven expertise with Application, Verification and Validation for ADAS/AD functions: Lateral/Longitudinal control function (Lane Centering, Lane Keeping, ACC, ISA 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.
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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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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 4 days ago - UpvoteDownvoteShare Job
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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 4 days ago - UpvoteDownvoteShare Job
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Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc. Prior experience building and deploying machine learning models in production at scaleUnderstanding of data and ML systems with the ability to think across stack layers - REST APIs, microservices, data ingestion and processing systems, and distributed systems.
$220,000 - $259,000 a yearExpandUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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machine learning jobs Title: learning architect Company: Inc in Milpitas, CA
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