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Provide thought leadership, subject matter expertise and serve as trusted advisor in machine learning, deep learning, and other state of the art AI techniques. Provide expert guidance in machine learning, deep learning, and advanced AI techniques, with a focus on e-commerce product search and recommendation systems.
$170,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods.
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5+ years developing deep learning models in PyTorch, TensorFlow or JAX, include 3+ years in a production environment. You understand why deep learning is magic. You have a demonstrated track record of excellence, including coming up with new ideas or improving upon existing ideas in machine learning, ideally demonstrated by first-author publications or equivalently impressive projects.
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Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
$138,900 - $256,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop the Thunder compiler, an open-source project developed in collaboration with NVIDIA, using your deep experience in PyTorch, JAX, or other deep learning frameworks. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption.
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Strong understanding of machine learning, deep learning, and generative AI methods and technologies. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.
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Learn new machine learning, deep learning, and/or natural language processing techniques for a variety of modeling and relevance problems involving users, their tweets, their interests, twitter ads, and relationships among entities.
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Designs, develops, and optimizes software abstractions and frameworks for acceleration with the FPGA for domains such as deep learning, DSP algorithms, or data analytics. Experience in ARM, DSP, Micro-controller low level embedded software programming including HW configuration, state machine design with timing constraints.
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Altana provides the world's only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Expertise in machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, etc. Develop and deploy machine learning models and algorithms for various applications, such as natural language processing, computer vision, and predictive analytics.
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In this role, as a Machine learning Engineer, you work mainly on creating great libraries and usability for open research releases. Strong skills in NLP and deep learning.
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Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques. Minimum of 8 years of experience in machine learning, data science, or a related field, with a focus on healthcare and real-world evidence (RWE.
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Experience with machine learning and AI technologies applied to unstructured data. Deep technical proficiency with data processing tools and platforms (e.g., Snowflake, AWS), data modeling, coding languages (SQL, Python), and ELT processes.
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You bring 5-10 years of experience in full development cycle in an agile setting, including testing (manual and automated) and deployment to CI/CD systems for both Frontend, Backend and Machine Learning systems with JavaScript, Java/Kotlin and Python.
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