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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. This role is for a senior machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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A track record of publications and contributions to the machine learning and natural language processing communities. Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
$152,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
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Experience 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 the following languages: Python, Go, Java, C.
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, 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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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
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Master’s degree or PhD in Engineering, Computer Science, or a related technical field. With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative AI.
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The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding question answering service.
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Implementing AI solutions solves complex problems in computer vision, natural language processing and recommendation systems. Demonstrate deep understanding and skill in software engineering, AI, or machine learning through experience.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
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Knowledge in machine learning, natural language processing, data mining, predictive analysis, or information extraction. As a Principal Software Engineer you will apply yourexpertise to the aerospace applications of engineering design, manufacturing, supply chain, mission operations, and customer experience.
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machine data engineering natural language processing jobs in Seattle, Lexington, Massachusetts
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