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Job Description Are you passionate about environmental justice and fighting environmental racism while building capacity in San Francisco’s most affected neighborhoods to combat climate change.
$143,780 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for machine learning (e.g., SageMaker, AI Platform, Azure ML.
$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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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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It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
$315,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 years of experience in Applied Machine Learning (e.g., TensorFlow, JAX, CUDA, etc. 5 years of experience in image processing, machine learning based image processing, computational photography.
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Experience: No prior experience is necessary, we’re looking for people who are passionate about fighting poverty and righting wrongs, regardless of your GPAs/background. Fundraising Development – Learn how to fundraise.
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The Machine Learning Foundations team builds and supports the essential tools and frameworks for every machine learning engineer at Cruise. The Machine Learning Platform team is looking for a Senior Full-Stack Engineer to design and implement ML infrastructure user interfaces and data visualization applications that accelerate the evaluation and improvement of machine learning models.
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GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx's platform for both customers and stakeholders.
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Looking for a Director of Training/Learning & Development Manager role! The Learning and Development Manager designs, develops, and delivers training programs that facilitate learning and skill building that supports company initiatives and allows the company to achieve its goals.
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Mosaic AI is hiring experienced machine learning platform engineers to build out our generative AI platform for the ML model development lifecycle including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving.
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Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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fighting job Title: machine learning in San Francisco, CA
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