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Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.
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PyTorch or Tensorflow. with comfort in languages like Go, or Rust, or JS/Typescript. You'll be familiar with fine-tuning those models in areas such as: NLG, NLP, NLU, ASR, TTS, Computer Vision.
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Experience with deep learning frameworks like TensorFlow or PyTorch. Employing and iterating on scalable and novel machine learning pipelines (Airflow on Kubernetes) Experience with deep learning frameworks like TensorFlow or PyTorch.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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Experience with deep learning frameworks such as PyTorch, TensorFlow. We are looking for a Senior ML Research Scientist to innovate and implement cutting-edge deep learning algorithms to power future Apple products.
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Professional ML/CV experience & strong technical knowledge of Python, TensorFlow, Pytorch, NumPy, etc. We are looking for smart talent driven to action more so than accolades. Professional ML/CV experience & strong technical knowledge of Python, TensorFlow, Pytorch, NumPy, etc.
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Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs. Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes.
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures.
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Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in low-level performance optimization, you will play a critical role in helping our customers to advance AMD-based machine learning infrastructure and ensuring the efficient deployment of state-of-the-art large models.
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Experience architecting scalable process solutions prepared with big data, data driven Machine Learning tools such as TensorFlow, scikit-learn, Pandas, and NumPy, Natural Language Processing, and implementing data models and developing data sources to support organizational solutions.
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We also bring experience in building and deploying machine learning models and artificial intelligence applications using Google TensorFlow and Python scikit-learn. Familiar with a JavaScript framework like Backbone, Angular, Ember or Vue.js.
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Center 1 (19052), United States of America, McLean, VirginiaLead Generative AI Infrastructure Engineer (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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MySQL, Aurora, Airflow, Tensorflow, Kafka, Google Cloud Platform, AWS. MySQL, Aurora, Airflow, Tensorflow, Kafka, Google Cloud Platform, AWS. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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We are looking for an experienced Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field.
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