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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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Experience with intra-operative neuromonitoring and machine learning libraries and tools. This is an exciting opportunity for a Talented Senior Software Engineer to join INR Dev Team as you engage in new development on new features, as well as maintenance of the existing code base.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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This role focuses on the development of Machine Learning and Artificial Intelligence techniques for BIOVIA’s life sciences modeling and simulation applications. BIOVIA is looking for a motivated Machine Learning Engineer – Drug Discovery to join our Discovery Studio team in San Diego, CA, or Waltham, MA in an onsite/hybrid role.
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Design data frameworks, develop algorithmic models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques.
$200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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O Leader, coach, and mentor to R&D functions including assay development, software (development and test/QA), image analysis/machine learning, project management, systems engineering, systems integration, manufacturing and laboratory operations, and to develop the company’s focus on other forms of cancer.
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Machine Learning Engineer. ft facility in Sorrento Valley that includes engineering workspaces for our staff of over 65 personnel, as well as electro-mechanical production and assembly line, full CNC machine shop, and rapid prototyping laboratory.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Act as a resource to the Machine Learning team with regards to Data Lifecycle Management.
$165,800 - $290,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design.
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Depending on the type of product, process, and plant, the work environment may vary in terms of noise, temperature, safety, and demand. Additionally, the employee will frequently need to reach with hands and arms while standing and walking as part of the role.
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Hands-on experience with Microsoft ADS, VMWare ESX and Nutanix virtualization technologies, SQL Server, Terminal Services. Software Knowledge: Windows, MS Office 365 platform and suite of tools, Remedy Force, Manage Engine, Lansweeper, Team Viewer, Okta, Zoom.
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Experience designing and developing e-learning modules using authoring tools such as Articulate Storyline, Adobe Captivate, or similar software. Designs and develops captivating and interactive learning materials, including e-learning modules, animations, videos, and simulations, with a focus on simplifying complex healthcare technology and diabetes management concepts to enhance user understanding and engagement.
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Snap-on Incorporated is a leading global innovator, manufacturer and marketer of tools, diagnostics, equipment, software and service solutions for professional users. The global leader in automotive equipment, Snap-on Equipment, has an immediate opening for a Automotive Equipment Technician.
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As a Software Engineer on our Learning team, you will be building out interactivity and interoperability features to give learners the best-in-class experience. Our backend codebase depends primarily on Ruby, Rails, PostgreSQL, Algolia, Docker, Redis, and whatever comes next.
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Application and review of finite element analysis (FEA) to the design cycle Performing tolerance studies/analysis, teaching other engineers to do the same Fabricating piece part components and a familiarity with manufacturing best practices Hands-on experience building complex assemblies Experience writing system-level requirements and performing traceability analysis through the documentation tree.
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machine learning software hands on jobs in San Diego, East-hartford, Connecticut
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