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Passion for clean energy and fighting climate change. Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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Grounded in legal expertise and committed to racial justice, TLC employs various community-driven strategies to keep transgender and gender-nonconforming people alive, thriving, and fighting for liberation.
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Training and experience in the operation of onboard control, communication, lifesaving, navigation and fire-fighting systems. The watch schedule may be altered by the Master to suit the trade of the vessel but must comply with STCW requirements for watch keeping.
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We have developed media campaigns that shifted hundreds of millions of dollars to BIPOC-led groups fighting for climate justice; gave Americans hope through our work with Way to Win, whose “What’s Possible” advertisement won Fast Company’s Innovation by Design Awards for advertising; helped early stage and multi-billion dollar valued tech companies announce their latest innovations and more.
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Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas. Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, data science and machine learning, and security.
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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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We're seeking an Applied Machine Learning Research Scientist to collaborate closely with our top-tier machine learning and data systems experts, driving innovation and creating the foundation for groundbreaking machine learning products.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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At Prescient Design, we are seeking a highly motivated Machine Learning Scientist to help drive research on Machine Learning for Drug Discovery. 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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4-8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products.
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Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. 6+ years of experience in machine learning, data analysis, or a related field.
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Job Title: Research Scientist III, Bioengineer. As a Senior Research Scientist in the Bioengineering department, you will have a pivotal role leading some of our R&D initiatives, by planning, executing and analyzing experiments.
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GLIDE is a nationally recognized center for social justice, dedicated to fighting systemic injustices, creating pathways out of poverty and crisis, and transforming lives. In close partnership with the Senior Director of Strategic Learning & Impact, CALI’s Director of Monitoring and Analytics is responsible for defining and implementing data analysis strategy for GLIDE’s impact divisions – Programs, the Center for Social Justice, and GLIDE Memorial Church –to meet organization’s strategic learning goals by leveraging internal service data; data from internal evaluation and research; and external demographic and other field-based data when needed.
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
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fighting job Title: machine learning scientist in San Francisco, CA
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