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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Proficiency in building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.
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As a Principal Applied Scientist in the Prime Video Global App Experience organization you will have deep subject matter expertise in applied machine learning. - Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning.
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Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. We are seeking a Principal Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation.
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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
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And deep learning framework such as Pytorch, tensorflow, JAX, etc. We seek a strong technical leader with domain expertise in machine learning, large language models and multimodal models, reinforcement learning and setting up simulation environments to benchmark and evaluate.
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Amidst rapid growth and evolving challenges, Amazon Publisher Cloud seeks a Principal Scientist with a deep passion for data, innovation, and the drive to explore new frontiers. - Demonstrated ability to shape product strategy with innovative research in deep learning.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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We are open to hiring candidates to work out of one of the following locations:New York, NY, USA | Santa Clara, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- Experience in building machine learning models for business application- Experience programming in Java, C.
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We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Atlanta, GA, USA | Chicago, IL, USA | Denver, CO, USA | Herndon, VA, USA | Jersey City, NJ, USA | New York, NY, USA | Santa Clara, CA, USA | Seattle, WA, USA | Washington, DC, USABASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C.
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Experience with neural deep learning methods and machine learning. - 5+ years of building machine learning models for business application experience. Are you looking to work at the forefront of Machine Learning and AI.
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Deep knowledge of adjacent fields, including optimization, heuristic search, and deep learning. Amazon Robotics is seeking a Principal Applied Scientist to develop state-of-the-art algorithms to control the fleet of 750,000 mobile robots in Amazon’s order fulfillment network.
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The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems.
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Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch. Machine learning (ML) has been strategic to Amazon from the early years.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago
deep learning jobs Title: applied scientist Company: Amazon
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