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Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, and/or Reinforcement Learning. Use machine learning, data mining, statistical techniques and run A / B experiments to solve complex business problems.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide expertise in one or several areas of machine learning and data science, such as natural language processing, supervised/unsupervised learning, deep learning, reinforcement learning, etc.
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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A working knowledge of Java, deep learning, clustering, predictive modeling, and natural language processing (NLP) is also advantageous. A Data Scientist’s function is multifaceted, frequently overlapping with other data related positions such as Machine Learning Engineer, Data Engineer, and Data Analyst.
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Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Proficient in large-scale data processing including batch and streaming, query engines, tooling, and storage formats.
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We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
$146,994 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop AI-based systems for Natural Language Processing (NLP) Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
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Required Technical Skills: Deep knowledge of AI principles, including natural language processing (NLP), computer vision, and reinforcement learning. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
$201,800 - $246,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. As a Data Engineer at Anthro Energy, you will play a pivotal role in leveraging data to drive innovation in lithium-ion electrolyte technology.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In this role, you'll play a key part in Robinhood's forward trajectory, collaborating closely with our adept Data Science and Engineering teams.
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Qualifications: Active California Speech-Language Pathology Assistant (SLPA) LicenseExperience working with RBTs or PARAs is a plus (please indicate if applicable) Hours per Week:You will be working full-time, ensuring dedicated support to the students throughout the school week.
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