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As a vital part of their research team, this scientist will lead the design, implementation, and optimization of cutting-edge deep learning models tailored to the unique challenges of drug discovery.
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They should also be familiar with deep learning architectures such as CNNs, RNNs, and transformers. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
$229,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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And working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Minimum of 3 years designing and deploying in AI/ML/ NLP/Deep Learning solutions.
$253,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of generative AI techniques, including deep generative models, auto regressive models, and reinforcement learning for generative tasks. Deep familiarity with vector databases and data processing techniques for LLMs, including model chunking.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Mentor and lead a team of developers and engineers, fostering an environment of continuous learning, innovation, and excellence in Generative AI.
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us. Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM.
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The hire will have opportunities for interdisciplinary collaboration via broad research initiatives and centers, including Optimization and Statistical Learning , Center for Engineering and Health , and Center for Deep Learning in IEMS, and Center for Engineering Sustainability and Resilience , Institute for Data, Econometrics, Algorithms, and Learning , Institute on Complex Systems , Transportation Center in the McCormick School of Engineering.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of Machine and Deep learning-based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, TensorFlow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Python/Golang, and have solid programming skills( algorithms and data structures);- Familiar with deep learning frameworks (TensorFlow/Pytorch);- Ability to work independently and complete projects from beginning to end and in a timely manner;- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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Apply modern machine learning algorithms, including deep learning, ensemble methods, and LLMs, to analyze large-scale datasets containing customer interactions with product and platform attributes.
$225,600 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
deep learning jobs Title: data scientist modeling and simulation in Phenix-city, Alabama
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