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Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Responsibilities:Conduct innovative research on deep learning for price forecasting.
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning) As a Principal Applied Scientist in the Prime Video Global App Experience organization you will have deep subject matter expertise in applied machine learning.
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Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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Preferred Qualifications:Solid background and hands on experiences with building Machine learning, deep learning and AI modelsExperiences with Generative AI/LLM.Excellent understanding of algorithms and data structures and ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C.
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QualificationsBasic Qualifications:PhD in Computer Science, Operations Research, Statistics, or highly quantitative field with strength in Deep Learning, Machine Learning, Data Analytics, Statistical or other mathematical analysis.
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Programming and PythonExperience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow)Experience with OpenCVGood technical judgment and initiativeDemonstrated ability to work effectively as a member of a teamStrong oral and written communications skills We are looking for visionaries who are ready to make an impact on the way the world works.
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Understanding of HPC or Deep learning workloads and use of accelerated computing platforms. We are looking for a Senior Software Architect who has deep expertise in designing server platforms and has added understanding of application use cases in Deep Learning workloads.
$216,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks). Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB.
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More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of data center hardware technologies such as Compute Nodes, Network and Connectivity Devices and Storage DevicesHands-on experience with Terraform, Ansible, and similar orchestration and automation tools.
$115,000 - $261,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Deep Learning and security frameworks like MLlib, Tensor Flow, SAIF. Expertise in segmentation, regression, machine learning (feature extraction, classification, clustering) is a huge plus.
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Position is local to ATX. 2+years of experience Python proficiency is required Experience designing RESTful or GraphQL APIs Comfortable with AWS/GCP/or Azure Comfortable with deep learning libraries Docker / Kubernetes Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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The Team: The Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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