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Preferred experience with analytics engines and data systems designed for processing large-scale data, such as SPARK, Databricks, AWS EMR, Snowflake, and data lakes.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Expertise in natural language processing, search and recommendation, and machine learning with a passion for data-centric machine learning. Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, related field; or equivalent experience.
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Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure. Prior experience building machine learning systems in production such as enabling data analytics at scale.
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As such, our research spans many Machine Learning areas, including deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising.
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems.
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We are revolutionizing how shows, movies, and games are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving the discovery and personalization of our offerings to our global user base using Machine Learning and data analytics.
$100,000 - $720,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
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Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
$129,200 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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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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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing. Staff Software Engineer, Machine Learning, Search.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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THIS ROLE WILL HAVE THE FOLLOWING RESPONSIBILITIES:- Analyzing search ranking and relevance requirements issues and opportunities- Utilizing PyTorch and proprietary tools for training deep learning models- Understanding product requirements then translating them into modeling tasks and engineering tasks- Building machine-learned models for query understanding and search ranking- Develop and maintain large scale indexing and ML data pipelines.
$161,700 - $243,300 a yearExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing. Experience in building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc.
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