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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Alternative education and experience required: Bachelor's degree in Data Science, Machine Learning, Software Engineering, Statistics, Operations Research, or related field and 8 years of progressive, post-baccalaureate experience as Data Analyst or Scientist, Machine Learning Engineer, Statistician, Business Analyst, or related role.
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Experience with machine learning algorithms and AI, including the use of frameworks to apply predictive models and advanced analytics within data engineering projects. A minimum of 5 years of experience in analytics engineering or data engineering, with a significant focus and hands on experience on data modeling and warehouse development.
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We are seeking a Machine Learning Software Engineer with a history of contributions to commercial optimization and deployment projects. and/or TensorFlow/Py Torch 3 years of experience coding on models that implement natural language translation, image recognition, and sequence to sequence deep learning models.
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Familiarity with data modeling, machine learning, frameworks like Spark MLlib. RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Machine Learning Engineer / Data Scientist Analytics Engineer.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of data mining, statistical modeling, and machine learning methodologies. Lead Engineer- Data/Machine Learning. Experience with data visualization and presentation, familiar with data analysis tools such as Tableau, JMP.
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MS or PhD in Computer Science, Statistics, Applied Mathematics, Physics or other quantitative fields with focus on AI, Machine Learning, Mathematical Algorithms, Probability and Statistical Modeling.
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You will need both deep expertise in mixed-signal and analog design and breadth across other engineering disciplines, such as photonics and digital electronics, semiconductor device physics, thermal/packaging, and machine learning.
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Suggested Skills:-Deep learning models and Transformers-Machine Learning-Product design and leadership-Recommendation systems-Information retrieval. The team works on diverse modeling problems across deep-learning, multi-objective optimization, multi-modal content models and large parameter model training and low-latency systems to gather data + execute models in near real-time to over 1 billion LinkedIn members.
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Machine Learning Engineer/Data Scientist. Understanding of data science concepts, statistics, and modeling. Machine Learning Engineer/Data Scientist. Good working knowledge of Cloud platforms (GCP preferred), and Airflow DAG development.
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Must have 2 years of experience in coding in Python; at least one or more of the following: Natural Language Understanding, Natural Language Generation, Intent detection, topic modeling and segmentation, training/fine tuning large language models, transformer; Machine Learning toolkits such as (TensorFlow, PyTorch, Spacy, etc.
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Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows, knowledge extraction, conversation understanding and text generation, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. 8+ years of wireless system engineering experience in PHY/MAC layer modeling and design, e.g. physical layer algorithm development, link level systems modeling and MAC protocol development/simulation.
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Amazon AI is looking for world class scientists and engineers to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning, automated reasoning, and machine learning algorithms for AWS. You will invent, implement, and deploy state-of-the-art machine learning and automated reasoning algorithms and systems.
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We are a team of best-in-the-world research scientists and engineers with deep experience in robotics, machine learning, computer vision, computer graphics, and related areas. You will work closely with specialists across high-performance computing, machine learning, and autonomous system development to identify needs and deliver new capabilities.
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