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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Leads the negotiation of safety data exchange/pharmacovigilance agreements with license partners and distributors in support of process definition, monitoring and other roles as required by drug safety to perform the drug safety mission.
$245,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Electro-optic modeling using Verilog-A, Cadence Spectre, Cadence Virtuoso, and Keysight ADS. Validate the models by designing experiments, conducting proof-of-concept experiments, and analyzing existing data.
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Tools used include: Good Manufacturing Practices (cGMP), 21 CFR Part 11, Annex 11, and Compliant GxP Computerized Systems (GAMP5), SOX, Agile methodologies, Veeva CRM, Commercial Data warehouse, Salesforce Marketing Cloud, Veeva PromoMats, Veeva MedComms, Case Management, and Grant Management.
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The Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies.
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Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion.
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We are trusted by more than 115K organizations around the world today, including nearly 70% of the Fortune 500 and leaders across deeply regulated industries (such as AstraZeneca, JLL, and Nationwide), to protect their data, fuel collaboration, and power critical workflows with secure, enterprise AI.
$194,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
$296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience in the integration and management of Product Data Management (PDM) and Product Lifecycle Management (PLM) systems (e.g., Siemens Teamcenter, PTC Windchill, Autodesk Vault, Oracle Agile, Arena) for the product development life cycle within a manufacturing or engineering environment.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Demonstrated experience utilizing consumer research and data to drive actionable insights to inform marketing strategy and improve the consumer experience. Track, distill and guide performance of campaigns to provide data-backed insights to optimize campaigns and find new opportunity areas.
$356,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C. We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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The successful candidate will be responsible for designing, generating and communicating pharmacology data to support the progression of oncology research programs. Accurate/timely record keeping and data analysis of in vivo data.
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data job Company: Splunk in Palo Alto, CA
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