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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Ph. D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math Strong background in Deep Learning and/or Medical Image processing 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts. Our Molecular Structure and Design team embraces novel approaches to computer-aided drug design, machine learning, and structural biology.
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Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy — a clean, safe, and virtually limitless energy source.
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The team's work is essential in supporting feature developments that use artificial intelligence and machine learning including Bloomberg Law's Docket Key, Points of Law, Brief Analyzer and Draft Analyzer, Bloomberg Tax's search capabilities and Bloomberg Government's State Bill Comparison.
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Ph. D. from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline.
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REQUIREMENTS:Bachelor’s degree required in policy, law, economics, engineering, or basic/applied science (such as physics, chemistry, material sciences, environmental science, earth sciences, etc.
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This position will be responsible for performing non-research biological science work utilizing microbiological and molecular techniques, including, but not limited to, DNA extraction and real-time polymerase chain reaction (real-time PCR) to rapidly identify and characterize potential pathogenic bacterial and viral threat agents.
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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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The ideal candidate for this position should have work experience in cell therapy process development, manufacturing science, analytical development, and familiarity with GMP/FDA/ICH guidelines.
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Actively looking for a Senior Scientist, Cell Therapy Process Development contributing to the development of early and late stage clinical cell therapy manufacturing processes. Experience with common equipment used in cell therapy manufacturing such as Sepax, Lovo, G-Rex, Xuri Bioreactors, CliniMACs Plus, CliniMACS Prodigy, MaxCyte GT.
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A proud Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy — a clean, safe, and virtually limitless energy source.
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Qualifications Education and Training: BS in Chemistry, Cosmetic Science, Physical Chemistry, Chemical Engineering or related sciences with 5+ years of formulating skin/sun care personal care products OR Masters degree with 3+ years’ experience.
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Associates degree as a PTA with licensure; or Bachelors’ degree in Exercise Science/Kinesiology/Allied Health; or 2 years’ experience in a Military healthcare setting. Job Category: Occupational Health - Worksite Solutions.
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machine learning computer science jobs Title: associate solutions architect in Princeton, NJ
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