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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart.
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
$136,500 - $211,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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The Learning & Development Team Co-op is responsible for the management of the Learning Management System (LMS). DescriptionPosition Summary:The Learning & Development Team Co-op will report to the Manager of Learning & Development and be responsible for supporting the organization-wide learning and development for 3500+ employees.
$20 - $25 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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All-around training in all areas of tool making and conventional soft machining, CNC Machining, hard machining, heat treatment, precision grinding, precision ram EDM, precision wire EDM, mold making, die making, electrode manufacturing, proto-typing, machine assembly and debug, planning, quality and metrology.
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We are hiring a Machine Learning Engineer III in Bellevue, WA, Boston, MA, or Plantation, FL. In this position, you will work on all stages of model development, from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop.
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The purpose of the is study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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In addition the SEF Program Director will visit other sites run by schools and outside providers within the BPS Summer Learning Academies that are using the Summer Early Focus curriculum.
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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.
$145,800 - $235,950 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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machine learning jobs Title: director Company: Professional Diversity Network in Cambridge, MA
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