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Working experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.
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5+ years hands-on development in deep-physics and deep learning models (diffusion, GAN, GNNs) for drug discovery / RNA, DNA / synthetic biology. 5+ years hands-on development in deep-physics and deep learning models (diffusion, GAN, GNNs) for drug discovery / RNA, DNA / synthetic biology.
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The Learning Specialist works across all classrooms in the school to provide targeted small group and one on one instruction both in and out of the classroom setting. The Learning Specialist engages fully in our professional development program, including instructional coaching, professional inquiry, and collaborative projects and committees.
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5-6 years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch. Publications at reputable machine learning conference or journal.
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The project involves the development and application of machine learning and deep learning approaches for spatial transcriptomics, spatial proteomics, and their integration with H&E histopathology data.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Stay current with the latest advancements in LLMs, NLP, Deep Learning and ML research, implementing cutting edge techniques and incorporating them into production models as appropriate. Solid understanding of deep learning frameworks such as TensorFlow or PyTorch a plus.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX. Develop state of the art deep learning networks and architectures across data from multiple sensors; Tasks include training, evaluating, benchmarking and deployment into real-time pipelines.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications. Extensive experience with Databricks (DLT, Medallion Architecture, Lakehouse Concepts, etc) and Amazon Web Services (AWS) with a deep understanding of their respective data services and offerings.
ExpandApply NowActive JobUpdated 25 days ago
learning deep jobs Company: Fractal in New York, Bentonville, Kansas
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