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Who you areYou will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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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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We seek an individual who is not only passionate about teamwork and technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning and antibody engineering.
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2 years work experience in Machine Learning, Data Science, and Software Engineering Experience in applied ML with a proven record of successful ML projects with vital individual contribution Proven experience in taking ideas to actual products Deep understanding of data structure, performance optimization, and algorithms.
$100,000 - $130,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive's Machine Learning (ML) practice to directly impact Attentive's AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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The Engineering team is looking for talented Machine Learning Engineers to help build out our vision. 10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design. We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work.
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At least 6 years of experience with machine learning and backend engineering. Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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Work with top-flight software and hardware and data science engineering talent from places like Google, Amazon, Nvidia, Palantir, and NASA JPL. Collaborate with domain experts in a variety of fields, from AI and machine learning to massive distributed systems and sophisticated scheduling algorithms.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models.
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software engineering computer science machine learning jobs Title: engineer backend software in San Francisco, CA
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