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Knowledge of deep learning frameworks such as Caffe, TensorFlow, Pytorch, as well as many other deep learning applications, will be a plus. Be a key player in shaping the future of compiler development and enjoy a rewarding career with ample opportunities for growth and learning.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Experience optimizing the model training process for deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. As a Senior Machine Learning Engineer, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels.
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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. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives.
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Basic affinity or interest in machine learning/deep learning/artificial intelligence. Crafting internal tools that empower our Machine Learning team to enhance search system quality and data.
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Strong programming skills in Python with extensive experience with the scientific and deep-learning stack (numpy, pandas, numba, torch, tensorflow, jupyter). A proven track record of building end-to-end deep-learning models.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product-oriented ML solutions. Senior Machine Learning Engineer At Altana Location: Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England.
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Nimble is looking for a Deep Reinforcement Learning Research Engineer to help us advance our robotics moonshot by designing, developing, and implementing reinforcement learning algorithms controlling multiple robots for a stealth project.
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Experience in SOTA deep learning techniques, e.g. training LLM/ foundational models and/or other large foundational models. The Senior Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
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Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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Deep Learning including Sequential modeling, Graph modeling and Transformer based models. This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Expertise in natural language processing (NLP), deep learning, and model training techniques. 3+ years of experience with Python and relevant deep learning libraries (e.g., PyTorch, TensorFlow.
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The Evaluation and Learning Manager deeply understands best practices for learning and evaluation in the non-profit/Youth services field and sector. Title: Evaluation and Learning Manager.
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deep learning jobs Company: Udemy in San Francisco, Maumelle, Arkansas
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