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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. Principal Machine Learning Engineer, Imaging AI.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Valid California License in Speech-Language Pathologist Assistant granted by the California Speech Language and Hearing Audiology Board. Spanish fluency, Preferred SUPERVISION This position reports to: Speech and Language Pathologist TIME COMMITMENT This position is a full-time salaried exempt 10-month position that follows the 190-day school year.
$65,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
$216,000 - $378,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements Key Responsibilities: Model Development: Design, implement, and optimize deep learning models for a wide range of applications, including image recognition, natural language processing, and autonomous systems.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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Implement Common Core State Standards-aligned and Science of Reading-aligned curriculum and lessons that build and integrate rigorous and student-centered learning experiences in English in partnership with Mandarin Chinese co-teacher leading other subjects (i.e. Chinese language arts, mathematics, social science, science.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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The LT plans and implements an environment that is rich with relational experiences and hands-on inquiry experiences designed to support the development of a range of social, emotional, self-help, language, literacy, cognitive and motor skills for individuals and groups of children that are aligned with the California State Foundations for Early Learning (Infant, Toddler, and Preschool.
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machine learning natural language processing jobs Title: software in San Francisco, CA
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