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Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) - Priceless Platform. If you have 4+ years industry experience working on Natural Language and text based Machine Learning Technologies, such as Semantic Search, Natural Language Processing, Vector Databases, Foundation Models, or Large Language Models, come talk to us.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Our ideal candidate will be a self-starter with a strong academic foundation, 5+ years of experience in deep learning and NLP, and recent industry experience with LLM's (prompt engineering, fine tuning, etc.
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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models. Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure.
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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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At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks.
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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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You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
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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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This role is responsible for creating and updating best-in-class protections against Child Sexual Exploitation and Abuse (CSEA), including developing machine learning models, third party solutions, partnering with our specialist CSEA review and investigations teams, and onboarding new features and product areas across the company into our CSEA protections.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This document will be in line with the Reggio Emilia approach to documentation and making learning visible. Maintaining a provocative and thoughtful environment to support the Reggio Emilia inspired learning goals.
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machine learning mining integrity jobs in San Francisco, CA
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