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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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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search.
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You will have demonstrated experience with Python and deep learning libraries such as Pytorch and/or TensorFlow and/or JAX. The Structural and Computational Biology (SCB) group within Prescient Design seeks exceptional researchers who have a demonstrated research background in protein structural biology and design, machine learning, and project management, a passion for research and technical problem-solving, and a proven ability to implement ideas and apply methods.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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Requirements Key Responsibilities: Model Development: Design, implement, and optimize deep learning models for a wide range of applications, including image recognition, natural language processing, and autonomous systems.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports datasets and predictions with high accuracy and low latency.
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Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator. Enable the Facet team to easily develop and deploy new machine learning capabilities at scale.
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Knowledge of key concepts in machine learning (particularly deep learning) OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Klarity (YCombinator S18) uses Natural Language Processing to automate document review for Finance and Accounting teams. Our customers include companies like Coupa, Okta, RingCentral, Optimizely and Lattice and use Klarity to (1) save time, (2) increase compliance, and (3) ease the pain of contract review.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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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. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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Basic affinity or interest in machine learning/deep learning/artificial intelligence. Crafting internal tools that empower our our Machine Learning team to use to enhance search system quality and data.
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machine learning natural language processing deep jobs Title: director Company: Intuit in San Francisco, CA
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