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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Possess a solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization. Prior experience in Deep Learning is preferred.
$19,960 - $246,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow, Pytroch or Jax; familiar with their underlying frameworks and implementation mechanisms. Rich experience and understanding of NLP, solid foundation in Machine Learning such as optimization, sparsity, etc.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
$5Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
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Tensorflow, Jax, PyTorch or other deep learning frameworks; - Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, FPGA, ASIC.
$184,300 - $337,250 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Quality and performance analysis between data types such as BF16 and FP8 for large deep learning models. Senior ML Training GPU Optimization Engineer page is loaded. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP.
$170,900 - $325,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like large language models, autonomous driving, computer vision, and recommender systems.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization), with related software development experiences.
$143,616 - $215,424 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Practical experience with machine learning, especially deep learning. We're now looking for a Senior Deep Learning Software Engineer for our cuDNN team! GPU programming and optimization expertise (e.g. CUDA or OpenCL.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Delve deep into the user-utilization optimization of our elite tech stack, from Salesforce.com CRM, Docebo LMS, Googles premier office suite, to Domo reporting, and beyond. Reporting directly to the Senior Director of Talent Acquisition & Learning, the hired candidate will collaborate with our technology departments, product experts and management teams to implement effective training solutions.
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Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT) Solid foundation in machine learning and deep learning.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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In this position, you will research and develop techniques to GPU-accelerate high-performance workloads in the finance domain - primarily focusing on Deep Learning, Machine Learning and Data Analytics applications.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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