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Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark. Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
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Design, execute, and own analyses of large, complex genomics datasets using Artificial Intelligence, machine learning, and statistical methods to generate biological insights. Lead end-to-end analyses that includes data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
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Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising.
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Collaborate cross therapeutic areas to deliver impact on research programs, examples including but not limited to statistical modeling of TCR repertoires, deep learning for peptide-MHC-binding and antigen epitopes predictions, etc.
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Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision.
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Experience in two or more applicable data science disciplines: statistical modeling, machine learning, data mining, time series data analysis, or data engineering. Some example statistical and machine learning methods we use on the data science team include Regression Analysis, Naive Bayes, Random Forests, PCA/LDA/IDA, and Neural Networks and related architectures (CNN, RNN, Transformers, LSTMs.
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Creative Learning Center is looking for a Speech Language Pathologist Assistant to join our team in Redwood City, CA! The Creative Learning Center is a state-certified, K-12 private day school in California for children diagnosed with autism spectrum disorder (ASD) and other neurological disorders.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. BitGo acts as the custodian for WBTC, the leading global stablecoin for Bitcoin, in addition to serving as a custodian for Hashdex and Valkyrie, two of the spot Bitcoin ETF issuers.
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Machine Learning Data Engineer (Remote - US) Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines. Continuously work alongside machine learning engineers to gather requirements, propose solutions, and implement observable, repeatable, and scalable ML data pipelines.
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As a learning organization, we encourage professional development and career advancement, and we offer up to $3,000 annually ($12,000 lifetime maximum) for education assistance with tuition reimbursement and/or loan debt relief that includes qualified family members.
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This work will be conducted within the framework of the Virtual Cell Initiative, aimed at building the first foundation model that makes accurate predictions about cell states by applying deep learning to large in vivo perturbation datasets.
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learning job Title: sr data scientist in Belmont, CA
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