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Leveraging various state-of-the-art tools and technologies afforded by computer science, including Artificial Intelligence, Machine Learning, Digital Signal processing and Algorithms to best shape the experiences.
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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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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. The Vice President of Enterprise Data Strategy and Solution will drive the strategy and direction of the Data and Analytics organization while providing exceptional services and solutions to Fluence internal and external business partners.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred). Develop and deploy machine learning models in production environments, working closely with other engineers to ensure solutions are scalable, reliable, and built with best practices.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Our research actively uses tools from multiple disciplines, including molecular and cellular biology, genomics, bioengineering, and data science to study human cancers and build new tools to detect and treat disease.
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Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologiesDevelop predictive models using machine learning and similar advanced tools to design, prototype, and build next-generation advanced analytics engines and services, which ultimately optimizes customer experience and increases business outcomes.
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We work closely with our partner teams across Cruise AI to lay out this foundation with a vision of building a Continuous Learning Machine, Data-Centric AI and objective model performance evaluation, to automate and accelerate our machine learning development, testing, and deployment and continuously ship models to improve the behaviors in our AVs, enabling our AVs to drive safely, reliably and smoothly in all different cities and scenarios.
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The Senior Machine Learning Engineer will build and deploy NLP models, including LLMs, to understand patient-doctor conversations, identify relevant medical terminology and phrases. MS in computer science or data science (or related field); PhD in NLP preferred.
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5+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval. Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch.
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Currently has, or is in the process of obtaining, a PhD in one or more of the following fields: machine learning, speech and language processing, signal processing, electrical engineering, computer science, statistics, physics, or related fields.
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machine learning computer science jobs Title: associate solutions architect in South San Francisco, CA
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