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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with image analysis, machine learning, and deep learning frameworks Pytorch, TensorFlow-Keras). The incumbent will apply image analysis and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology digital pathology research for programs in clinical development.
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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.
$320,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. Work with trial investigators and the sponsor's biometrics team to support development and timely execution of bioinformatics and statistical analysis plans for collaborative studies that leverage biomarker and clinical data from the trial to address clinically and/or translationally relevant questions.
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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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Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experience.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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We are particularly interested in candidates who are at the forefront of integrating artificial intelligence/machine learning into biology. The department is interested in recruiting new faculty who work at interfaces between scientific disciplines represented within our department (including computational biology, molecular engineering and design, therapeutic bioengineering, systems pharmacology, drug development sciences, pharmacogenomics) and across the entire discovery science community at UCSF (e.g. biochemistry, biophysics, cell biology, pharmacology, pharmaceutical chemistry, physiology, neuroscience, human genetics.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid training in statistics, machine learning/AI, and bioinformatics. The duty of the computational biologist is to develop AI models to analyze longitudinal omics data from human longevity cohorts.
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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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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. 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.
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machine learning lead jobs Title: data engineer Company: Amazon in San Francisco, CA
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