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Position: Research Engineer - Machine Learning Efficiency
Institution: Netflix
Location: Los Gatos, California, United States
Duties: In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists
Requirements: 5+ years of software engineering experience with a track record of delivering quality results; Proven expertise in training and serving infrastructure for LLMs and other large foundation models; Strong problem-solving skills with knowledge of statistical methods; Strong software development experience in languages such as Python and Java; Deep understanding of TensorFlow and/or PyTorch
   
Text: Research Engineer - Machine Learning Efficiency In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists 5+ years of software engineering experience with a track record of delivering quality results; Proven expertise in training and serving infrastructure for LLMs and other large foundation models; Strong problem-solving skills with knowledge of statistical methods; Strong software development experience in languages such as Python and Java; Deep understanding of TensorFlow and/or PyTorch
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