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Experience building complex software systems that have been successfully delivered to customers, especially involving deep learning, machine learning and computer vision.
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Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies. + Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery.
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Required Qualifications: A minimum of three years of hands-on experience as a machine learning engineer or data scientist. Responsibilities: Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics.
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Experience in machine learning, deep learning, information retrieval, natural language processing, or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of the following languages: Python, Go, Java, C.
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An online portfolio or samples of work demonstrating experience in user-centered design solutions and product design innovation, which illustrate solving multi-platform UX challenges and demonstrate scalable, user-friendly design solutions.
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Extensive knowledge in machine learning and hands-on experience in developing and implementing deep learning algorithms and generative models like VAEs, GANs, autoregressive models and transformers.
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The Moodle Lead will apply advanced software concepts and objectives to educational technology development projects of broad scope and complexity, working in concert with developers, user experience experts, site reliability engineers, QA, support, and product ownership.
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You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. Knowledge of modern deep learning and natural language processing techniques.
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Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments.
$152,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Experience writing custom CUDA kernels using CUDA or OpenAI Triton. Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence.
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Be proficient in deep learning tools such as Keras, TensorFlow, PyTorch, Caffe, etc. Deploy machine learning models into production systems for real-time monitoring and decision-making.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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deep learning user experience jobs Company: Amazon in Seattle, Dothan, Alabama
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