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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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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.
$169,000 - $338,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a senior machine learning engineer at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use.
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As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Specific tasks will include data curation and database expansion, database management, website and data server maintenance, data archiving, working with Stanford libraries, and creating computational tools such as Python scripts for data processing to support artificial intelligence and machine learning efforts in cardiovascular imaging and modeling.
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Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving. Train advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models.
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Experience with neural deep learning methods and machine learning.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in the lab and in the wild. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory.
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machine learning jobs Title: learning engineer Company: Amazon in Palo Alto, CA
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