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At Genentech Computational Sciences (gCS) Prescient Design, we are seeking a highly motivated Machine Learning Scientist to help drive research on Machine Learning for Drug Discovery.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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As a Principal AI Scientist, you are expected to: Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
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Hands on experience with conjugation, purification and characterization of antibody drug conjugates, and experience using analytical techniques/instrumentation, including chromatographic techniques such as HIC (Hydrophobic Interaction Chromatography) and RP (Reverse Phase), SEC, SDS-PAGE, UV‐Vis. Bio-conjugation experience, protein biochemistry and Chemistry background Must be team player, adheres to timeline, communicative and collaborative.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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The LT plans and implements an environment that is rich with relational experiences and hands-on inquiry experiences designed to support the development of a range of social, emotional, self-help, language, literacy, cognitive and motor skills for individuals and groups of children that are aligned with the California State Foundations for Early Learning (Infant, Toddler, and Preschool.
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Collaborate with Applied Science, Product and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on time. As a Machine Learning engineer, you will help support all aspects of the machine learning lifecycle, including the research platform, training and deployment pipelines, labeling and serving infrastructure.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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The Senior Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
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Open Source Frameworks - Spring boot, Spring CoreMessaging frameworks such as Kafka, Tibco EMS or JMSOracle PL/SQL JavaScript and scripting frameworks (JQuery, AngularJS)Hands-on experience in test automation at various levels of testing (unit, component, integration and functional tests.
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hands on machine learning jobs Title: architect Company: Databricks Inc in San Francisco, CA
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