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Strong experience with efficient deep learning and/or model optimization techniques such as quantization, NAS, distillation. Analyze the ML workload performance; Apply model optimization and efficient deep learning techniques to models; Develop highly optimized ML operator libraries.
$243,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in model validation and model risk management. A minimum of 12 years of experience in the financial services industry, working in model risk management, model development or validation.
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This experience shall involve reviewing both structural and non-structural code compliance in accordance with ICC model codes and structural standards, and other local, state, and federal regulations.
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Knowledge of classical and modern ML approaches such as transformer networks, linear models, recurrent models, convolutional neural networks
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Firm Type: Law Firm, Experience: 5 Years, Job Title: eDiscovery AttorneyLocation: Palo Alto, CAJob Overview:A law firm in Palo Alto, CA, is searching for an eDiscovery Attorney to serve as the primary liaison for clients, develop and execute project plans for each stage of the Electronic Discovery Reference Model (EDRM), and implement innovative solutions leveraging AI technology.
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This role is for a machine learning engineer in the Inference team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required Skills: Proficient in system verilog real number modelingFamiliarity with writing regression tests for analog behavioral model verificationHands on experience with UVMFamiliarity with generating randomized vectors for analog behavioral model verification.
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You have subject matter expertise and research in one or more of the following areas: scalable generative and diffusion models, generative model alignment with reward/cost models, controllability, distillation, mode recovery, fine-tuning with closed-loop RL, applications to autonomous driving and robotics, and other experiences such as video generation, text-to-image generation, in-painting/out-painting and so on.
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Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc. Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Innovate across the entire end-to-end ML production pipeline, including dataset creation, neural network architecture design, model training, fine-tuning methods, training time optimization, on-device and server side inference.
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Develop state-of-the art model compression and scalability techniques using Numerics, pruning, distillation etc. Specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
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Keep track of the latest innovation in academia and the open-source community and quickly prototype new projects on Vision and LLM/Foundation model useful to Airbus. Keep track of the latest innovation in academia and the open-source community and quickly prototype new projects on Vision and LLM/Foundation model useful to Airbus.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 Yesterday - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality. Experience working across and building relationships with cross-functional design, model and emulation teams.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model.
$273,000 a yearFull-timeExpandApply NowActive JobUpdated Today
model job in Mountain View, CA
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