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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science. Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
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FL97 is seeking an experienced, creative, and talented (Senior) Machine Learning Scientist, Biomolecule Design to join our team. PhD in applied mathematics, computer science, physics, computational biology or other quantitative disciplines.
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The Algorithmic Systems Group within Analog Garage creates advanced algorithms in the fields of signal processing, computer vision, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science, and implements those algorithms in practical and efficient hardware.
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This could involve developing machine learning methodologies/pipelines including explainable AI and visualization methods, large-scale simulation coupled with active learning and/or machine learning potentials, exploration of future experimental lab technologies, or development of the mathematics of machine learning, AI, or quantum computing.
$104,400 - $143,550 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ampersand Biomedicines, Inc is looking for an enthusiastic and self-driven AI/ML Engineer with deep expertise in development of AI/Machine Learning/Deep Learning to join our team in developing a cutting-edge platform to identify and design new multi-specific medicines across a spectrum of therapeutic areas.
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Proficient in machine learning, deep learning, computer vision, and image process techniques. Advanced degree (PhD preferred) in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline; 2 or more years of related experience in a university pathology lab or a biopharma company.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Profound experience in data science, machine learning, and data engineering programming using python and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, or similar.
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Serves as the experiential learning engine for students majoring in computer science, data science, computer engineering and related disciplines, providing opportunities for students to work on real-world projects learning focused on the application of data science, machine learning, and software engineering skills through a series of practicum courses and labs organized around thematic priority areas such as social justice, sustainability, and civic tech.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
$212,000 - $318,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns.
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A talented Machine Learning Research Engineer is required to join an exciting and innovative healthtech organization based in Boston. In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and provision the necessary infrastructure in Azure.
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engineer machine learning computer science jobs Title: senior software engineer Company: Goldman Sachs in Boston, MA
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