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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step in solving problems.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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Job DescriptionThe Research Engineer will diagnose and hypothesize aging mechanisms in polymer electrolyte membrane electrolysis cells based on available experimental data. Autonomy, attention to detail, flexibility, creativity, excellent communication, and teamwork skillsAdditional InformationBOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives:FIRST Robotics (For Inspiration and Recognition of Science and Technology)AWIM (A World In Motion)By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.
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Beam line control and data acquisition software such as EPICS, SPEC, or ICS. Hands-on with X-ray optics and opto-electro-mechanical systems. Position Overview:Stanford Synchrotron Radiation Lightsource (SSRL), a SLAC Directorate at Stanford University, is a national scientific user facility providing synchrotron radiation for research in biology, chemistry, engineering, environmental science, material science, medicine, and physics.
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Experience with various subtractive and additive manufacturing technologies for production and prototyping: injection molding, sheet metal, co-molding, machining, CNC - Data analysis and visualization experience (matlab, python, jmp or similar.
$75 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a predictive enterprise environment, we analyze petabytes of data that pass through our walls daily and we hire the most talented minds in data science to build creative predictive analytics and data science solutions for our cybersecurity solutions.
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The NVIDIA Datacenter System group is looking for a Data Center Software Development Engineer with an interest in automation, test and framework development, managing builds, driving integration, and supporting validation.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role is highly cross-functional, requiring you to collaborate closely with Data Science, Data Engineering, and Product teams to understand customer requirements, and with Data Platform and Storage teams to develop integrated solutions.
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Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.
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Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA's Silicon Solutions Group is responsible for crafting NVIDIA's GPUs and SoCs into groundbreaking platforms for autonomous machines, Cloud and Data Centers, Deep learning, High-Performance Computing, Gaming, and Entertainment solutions.
$304,750 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years' experience in software engineering or related area.
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Experience with cloud-based AI services like Google AI Platform Experience building data driven chat-bot Experience in AI processing of Financial documents Note: We are not looking for Pure data science engineers and data scientists without AI LLM knowledge.
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Experience in one or more data science languages, or toolkits such as R, MATLAB, Python, numpy, pandas, scikit-learn, TensorFlow, etc. A degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics or a related technical field.
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Familiarity with reliability software tools and Weibull analysis, knowledge of mechanical and electrochemical battery cell failure modes, Data Science, Data Engineering. Currently pursuing a degree in Data Science, Reliability Engineering, Math, Mechanical Engineering, Materials Science or a related field.
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PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field. Experienced with prototyping and cloud bulk data injestion techniques (e.g. AWS, Spark, Kaftka)- 2 years.
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data science jobs Title: engineer in Mountain View, CA
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