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Build and test new social media infrastructure using languages such as TypeScript, JavaScript, Dart, Python, Rust, or Go Engage with senior ASML management and external stakeholders (e.g., open-source project leaders) to integrate ASML technology with the larger tech ecosystem.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Our specially selected team of engineers, software developers and scientists develop algorithms, software integrated prototypes and solutions for Artificial Intelligence, Machine Learning, Manned and Unmanned Aerial Vehicles, Mission Planning, and Situational Awareness.
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This team will regularly interact with various teams with robotics-specific domain knowledge, including motion planning, controls, machine learning, and triage, picking up experience and knowledge in those areas.
$146,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Publications or contributions to open-source projects related to transformer architectures, vector databases, or language models/ natural language processing are a strong advantage. Solid understanding of machine learning principles, algorithms, and data structures.
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In this role, you will collaborate across medicinal chemistry to leverage machine learning algorithms for small molecule drug discovery. You will join the growing AI/ML group within computational science as a research fellow and participate in cutting-edge research in machine learning and its applications to small molecule drug discovery and design.
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Proficiency in using industry-standard design software such as Microstation, Open Roads, AutoCAD, and Civil 3D. Provide technical support during construction, including reviewing plans, addressing design issues, and overseeing project progress.
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Reporting to the National Director, Member Development, the Director, Member Development functions as a key sales representative for the Vision Source alliance. Assist members with engaging in Elite Vendor Programs and Vision Source programs/ initiatives.
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The Associate, E-Learning Education & Training will be responsible for maintaining CCA's Learning Management System (LMS) Docebo catalog of modules, student groups, and assignments. Interacts and collaborates with department leaders and educators to provide best practices in leveraging the learning management system (LMS.
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Experience with machine learning, such as development of regression/classification models and deep learning models, is preferred but not required. Provide support for experimental results using data analytic and/or machine learning techniques.
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If you have a passion for e-learning and a knack for technical administration, we'd love to hear from you! Job Title: LMS (Learning Management System) Administrator & Training SpecialistLocation: Remote (EST) Join our team as an LMS Administrator & Training Specialist.
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Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. Base pay and any target sales incentive are part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
$133,000 - $271,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$65 - $70 an hourFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras) Experience with machine learning, specifically in time series domains.
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machine learning open source jobs Title: technical program in Boston, MA
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