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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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PhD in STEM field and 2+ years of research experience involving machine learning, natural language processing, or deep learning are highly preferred. Master's Degree in STEM field and 5+ years of experience involving machine learning, natural language processing, or deep learning.
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Proven experience in Deep Learning, Natural Language Processing, Large Language Models, Search & Recommendation. Develop Natural Language Processing and Gen AI models to improve effectiveness of customer support.
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Expertise with AI algorithms, including deep learning, and natural language processing. This individual will possess a deep understanding of AI principles, Google Cloud Computing, and enterprise architecture.
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The Research and Technology Center North America (RTC-NA) provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence.
$120,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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In this role, the primary focus is on recommender systems, so the candidate must be able to leverage machine learning techniques such as collaborative filtering, deep learning, reinforcement learning as well as Natural Language Processing techniques important in dealing with content metadata.
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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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As part of our commitment to delivering exceptional service experiences, the candidate will leverage advanced AI, Natural Language Understanding (NLU), Large Language Models (LLM), and Natural Language Processing (NLP) technologies.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning.
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Gradient boosted trees, neural networks/deep learning, optimization) and a strong desire to further pursue natural language processing techniques, including LLMs. Evaluate and train Large Language Models (LLMs), traditional language models such as BERT, and other machine learning models such as XGBoost.
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Expertise in machine learning, deep learning, natural language processing, and other AI techniques, with proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
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As the “front door” of personalization and discovery, Search helps millions of listeners fall in love with the depth of our content catalog across Pandora and SiriusXM.In this role, you will leverage your expertise in machine learning, information retrieval, ranking, natural language processing, and recommendations to frame business goals as machine learning problems, research novel methods, and build machine learning systems for Search and Voice.
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PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) 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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