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We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
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Taking an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning, and data analytics to advance cancer treatment and expand access to care to help patients become survivors.
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We are seeking an experienced HSM firmware engineer with expertise in Multisignature (Multisig) and Multi-Party Computation (MPC) to join our team. Collaborate with other engineers to interface firmware and software with HSM hardware components.
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As an Engineering Manager, you will oversee the delivery and support of engineering deliverables with high quality and on time, working closely with product management, customer success, field and other key stakeholders.
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C3 AI is seeking a Lead QA Automation Engineer to work with Engineering, Product Development, QA, Operations, and Customer Services to drive the software quality automation for our existing and emerging products.
$146,000 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Responsible for report generation and assisting in tracking territory activities, including Salesforce and Power BI documentation. With a focus on teamwork, communication, and adaptability, the Sales Coordinator contributes to creating a positive working environment and driving success within the territory.
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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.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a Staff Software Engineer on our Network Engineering Team, you will be leading, building and owning our next generation network automation stack. Staff Security Software Engineer- Networking.
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The Seasonal Chef Instructor reports to the Resident Chef. Job Duties and ResponsibilitiesModels and directs employees to ensure customer service standards are met. The Sasonal Chef Instructor, Savory contributes to the success of a Sur La Table store by inspiring customers on all points of their culinary journey.
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Experience working with search, recommendation, natural language processing, or other large systems involving machine learning. Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must.
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The camera validation and integration engineer would be a highly competent hardware engineer, as well as having solid working knowledge of optics, CMOS image sensor, image quality, image signal processor, and software programming.
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Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance. Genies platform and mobile backend teams are growing, and we are hiring multiple Senior Software Engineers.
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Come join Kohler Ventures as Sr. Software Engineer/Architect, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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Review member accounts through analysis for fraud or prevention of fraud by utilizing software such as, Visa Risk Manager, Visa Data Manager. Diversity, equity and inclusion are critical to our success, and we value the varied backgrounds and experiences that everyone brings to our organization.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
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