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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. 2+ years experience in computational linguistics or language data processing.
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Business Title Senior Machine Learning Engineer, Generative AI Applications Additional Job Details Be a pioneer in business, education, and global impact by joining the team - a "startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Experience with machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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Proven experience in AI and machine learning, including familiarity with LLMs, RAG (retrieval augmented generation) pipelines, and NLP (natural language processing) techniques.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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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. 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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Collaborate with leading experts to solve problems in fields such as: signal processing, image/video processing, machine learning, computer vision, statistical estimation, object tracking, optimization, control systems, ocean engineering/sonar, data analytics, and sensor hardware development.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience integrating machine learning, natural language processing or OCR within RPA processes. We are seeking a talented robotic process automation developer to join our growing Automation Team at the Federal Reserve Bank of Boston.
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As a Technical Lead / Principal Software Engineer on the AEC Solutions team, you will join a team of technologists 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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TandemAI is seeking a Senior/Principal Machine Learning Scientist who will help leverage machine learning and artificial intelligence technologies to revolutionize the field of drug discovery.
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machine learning natural language processing cutting edge jobs Title: data scientist Company: University Of Wisconsin in Woburn, MA
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