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Strong knowledge of machine learning techniques (classification, clustering, auto-encoders, reinforcement learning, transfer learning). Specifically, this role will involve integrating multi-omics data, building gene regulatory network models, and leveraging machine learning techniques to assess drug combination opportunities.
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Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Gemini, GPT, GPT-3, GPT-4, Synthetic Data, ML Fundamentals, Pytorch, TensorFlow, Data Engineering, Data Preprocessing.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company.
$124,000 - $232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 5 or more years experience in predictive analytics or equivalent.
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Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.
$110,500 - $180,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design, build, and maintain advanced machine learning models for our recommendation systems, ensuring they are scalable, efficient, and impactful. Keep up to date on the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work.
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The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement.
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As a Staff Data Scientist, Machine Learning , you will be a core member of a team of data scientists and engineers building a powerful computational platform for advancing the research and development of new medicines.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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About the team:The Applied Machine Learning (AML) team serves as ByteDance's central AI organization. - Strong sense of responsibility, good learning ability, communication ability, and self-motivation.
$136,800 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Software Engineer - Data Engineering Analytics Engineer. This is an opportunity to work on the most challenging data science problems, build large scale distributed machine learning systems from the ground up, and use cutting edge technologies like Spark, Kafka, and Tensorflow.
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Working Title : Postdoctoral Scientist - Multi-modal Neuroimaging Analysis with Machine Learning – Al-Louzi/Sati labs - Department of Neurology. Under the co-supervision of Drs. Al-Louzi and Sati, the Postdoctoral Scientist will have the opportunity to work in a multidisciplinary team of expert neuroimagers, neurologists, and machine learning scientists to investigate novel diagnostic and prognostic imaging biomarkers in patients with neurological diseases, including Multiple Sclerosis, Alzheimer’s disease, Amyotrophic Lateral Sclerosis, and Parkinson’s disease.
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The Senior Scientist role will be a key member of the Discovery team, responsible for leading and collaborating on machine learning-based protein design initiatives in the development of new cell therapies.
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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. We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
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