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6+ years of relevant experience across machine learning engineering, software engineering, data scientist, or data engineering roles (3+ years in data and/or machine learning focused roles.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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You'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. Check out our Machine Learning / AI blog here.
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We work closely with startups and large companies leading the way in machine learning, hardware acceleration, quantum computing, photonics, and bio tech in Boston, New York, and around the USA, to build teams that will change the technology landscape.
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This team is specifically passionate about growing Oracle Cloud’s HPC ecosystem, see OCI has a leading solution for training and running large machine learning models. Zoom is using OCI to connect millions of people and Red Bull Racing leverages Oracle’s machine learning capabilities to set new standards for Formula 1.
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Skills Required: Requires experience in the following: Natural Language Processing (NLP) in a commercial environment; programming expertise in Python; Agile development paradigm; machine learning APIs and computational packages including Scikit-Learn, NumPy, SciPy, and Pandas; neural network packages such as PyTorch or TensorFlow; and development in Amazon Web Services (AWS) environments.
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We’ve built a team of creators, innovators, entrepreneurs, and leaders to unlock endless possibility for our customers and partners with the power of OCI. We are now seeking an excellent Senior Regional Manager (SRM) to lead a field sales team in our machine learning vertical.
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The Mathematics and Computer Science Division at Argonne National Laboratory seeks self-motivated and independent Postdoctoral researcher to develop and apply state-of-the-art probabilistic machine learning techniques for the development of efficient and robust surrogate models for scientific machine learning applications.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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Preference is for candidates with experience with common open source scientific computing/machine learning libraries including: scipy, pandas, statsmodel, OpenCV, XGBoost, PyTorch / TensorFlow.
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Experience with natural language processing, text mining, or machine learning techniques and building engineering code using open source programming languages, including Python, R, or JavaScript.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for an Engineering Manager working on generative AI models for image synthesis to help us build the next generation of creative tools.
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Keywords:Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C. Home"Quantitative Researcher, Machine Learning - Work From Home. Quantitative Researcher, Machine Learning - Work From Home.
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machine learning jobs Title: electrical Company: Optello
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