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WHAT YOU'LL DO Role Title: Global L&D Learning Innovation Senior Manager ( 1 open role ) Location: We can hire in the following office locations - Boston, Atlanta, London, and Munich ONLY The BCG Global Learning & Development Design Center has established an Innovation Center of Excellence (CoE) to enhance and modernize the learning experience for BCG employees globally and future-proof our learning function.
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San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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We are looking for a passionate senior machine learning engineer to join the team to partner with us to extend our existing set of traditional ML technologies and infrastructure and to help us blaze a path in the generative AI space.
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We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP® and elective courses.
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The Audit Manager will focus on transformation projects in the digital space, at Northern Trust, including but not limited to data governance and management, Cloud, DevOps, Blockchain, Generative AI, Machine learning, and robotics/automation.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Knowledge of adult learning theory and social & emotional learning competencies. BPS is particularly interested in candidates who are fluent in one of BPS' official languages: Spanish, Creole (Cape Verdean), Creole (Haitian), Chinese, Vietnamese, Portuguese, & Somali.
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Proficient with Tensorflow, Pytorch, and other machine learning frameworks. Bachelors or Masters degree in computer science, engineering or another quantitative field, preferably with a focus on machine learning.
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A talented Machine Learning Research Engineer is required to join an exciting and innovative healthtech organization based in Boston. In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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This position will specifically develop and oversee the professional learning development function of our organization, ensuring alignment with HRiA’s mission to advance health and racial equity.
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These may include: Culturing bacterial and mammalian cells Performing fixed-cell and live-cell microscopy Making mesoscale and high-throughput measurements Using microfluidic devices, quantitative image analysis, MATLAB and python programming, and machine learning Recording test results and analyze data using statistics.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. As a member of the Perception team at Zoox, you will be responsible for developing and improving state of the art machine learning techniques for doing everything from 2D/3D object detection, panoptic segmentation, tracking, to attribute classification.
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Knowledge of machine learning frameworks (TensorFlow, PyTorch) and libraries. Continuous learning and professional development opportunities. We seek a highly skilled Full-Stack LLM Prototype Engineer to join our dynamic team.
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machine learning jobs Title: electrical engineer Company: Autodesk in Boston, MA
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