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PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
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Progressive career experience as a software developer, data engineer, analytics engineer, or ML engineer. We are looking for a strong ML engineer to build new capabilities in the Revenue Operating System to include Air Cargo demand forecasting and ML-based pricing capabilities.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Proven experience of software development in the autonomous vehicle industry, with a strong focus on robotics perception algorithms and machine learning. Develop and evaluate robotics perception algorithms including deep learning, machine learning, computer vision, and so forth, on our unique autonomous flight datasets (camera, lidar.
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As a Machine Learning Engineer, you'll be responsible for designing, developing, and managing the platform and framework that facilitates automated, data-driven decision-making. Understanding of statistical, machine learning and deep learning algorithms.
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Here's what we work with regularly Robotic Simulation with ROS, RVIZ, Unreal Engine, Unity, and Gazebo Machine Learning (ML) and Computer Vision (CV) Distributed computing and inter-process communication (IPC) mechanisms Modern C.
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Job DescriptionWe are looking for an experienced and passionate MLOps Lead Engineer to join our team and lead the deployment and management of our machine learning solutions for a non-prime lender.
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Experience in R, Python or similar applicable programming languages, with some experience utilizing Artificial Intelligence (AI) and Machine Learning (ML) tools and techniques. SAIC is seeking a mid to senior level Electrical Engineer with a passion for electrical design methods, electrical CAD tools, and Digital Engineering interests to join our energized Engineering Innovation Factory Team of solution architects, digital engineers, and core engineers to define and build the infrastructure that fuels the Digital Engineering Transformation across our entire industry.
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6+ years of relevant experience across machine learning engineering, software engineering, data scientist, or data engineering roles (3+ years in data and/or machine learning focused roles.
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Keywords: CNC Engineer, Location: Windsor Locks, CT - 06096. The majority of us at Spectrum Machine & Design have made a life-long commitment to developing our metalworking skills and abilities.
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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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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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machine learning software engineer jobs Company: Confluent
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