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3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred) 5+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for an Engineering Manager working on generative AI models for image synthesis to help us build the next generation of creative tools.
$148,600 - $298,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience developing architectures for Machine Learning Accelerators. Architect and Design ASIC models for Emulation/FPGA Prototypes. Experience writing/debugging verilog/RTL code for ASIC/FPGA designs and waveform debug skills.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will apply machine learning to Autonomous Vehicle perception, to develop features for our next generation autonomous driving platform. Research Experience: Relevant published research, particularly in relation to perception tasks for autonomous driving, general computer vision and machine learning.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Principal Data Scientist / Applied Machine Learning Scientist Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Currently pursuing a PhD degree in Computer Science, Computer Security, Machine Learning, or a related technical discipline. Research experience in computer and network security such as Threat Detection, Threat Hunting, Anomaly Detection using Machine Learning, or engineering experience in building systems for such purpose.
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Programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: learning architect Company: Microsoft Corporation in San Jose, CA
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