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Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.
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We are looking for a talented ML Infrastructure engineer to join the Autonomy team and help build state-of-the-art model training, evaluation, and deployment pipelines to aid in the development of the perception modules of our self-driving vehicles.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Machine Learning Platform team builds and supports the critical Distributed Training Framework and tools for every machine learning engineer at Cruise. Deep learning frameworks like PyTorch, TensorFlow, etc.
$257,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preferred Skills Strong understanding of modern GPU architectures and programming frameworks like CUDA or OpenCL.Experience working with NVIDIA Data Center-class GPUs (A100, H100, etc)Experience with deep learning frameworks like TensorFlow or PyTorch is a plus.
$290,950ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow. Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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And a solid understanding of deep learning training frameworks such as PyTorch and TensorFlow. Understanding of deep learning algorithms and neural network architectures.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preferred previous software engineer expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. This role is for a senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.
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Software Engineer- AI/ML, AWS Neuron Distributed Training Do you love decomposing problems to develop products that impact millions of people around the world? The group presents a lot of opportunity for optimization and scaling large deep learning models on Trainium architecture.
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Our deep learning engine automates the translation of patient records into the billing codes used for healthcare provider reimbursement, a process today that costs hospitals in the US $15B+ annually and tens of billions more in errors and denied claims.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The scaling ML training Infrastructure Engineer is responsible for designing, building, and managing the infrastructure that supports Liquid AI's large-scale training of machine learning models.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Performance tuning and optimizations of deep learning framework & software components. Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc.
$208,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Senior Software Engineer in the Central AI team, you will build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines.
$265,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? NVIDIA GPUs: CUDA programming and libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.
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Experience with training and deploying deep learning models. As a Software Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving.
$269,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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