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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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You'll work across the entire ML framework/compiler stack (e.g. JAX, XLA, Triton, and CUDA), as well as system-efficient deep learning models. Strong experience with efficient deep learning and/or model optimization techniques such as quantization, NAS, distillation.
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Knowledge of key concepts in machine learning (particularly deep learning) OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Utilize: Machine Learning, Data Science, Python, Data Engineering, Software Engineering, Structured Query Language (SQL). One (1) year of experience must include utilizing Machine Learning, Data Science, Python, Data Engineering, Software Engineering, Structured Query Language (SQL.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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Stay current with advancements in machine learning by actively researching and interpreting relevant scientific and technical journals. Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Electronic engineering, linux, machine learning, processor, python, software engineer. Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers mission to defend against evolving threats around the world.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking.
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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
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2+ years – using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST) 3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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machine learning technical lead deep jobs Company: Fusemachines
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