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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery.
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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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Operates and maintains washer, dryer, dry cleaning machine, steam tunnel, presser and iron. Other amenities include The Wellness Floor, a five-star urban spa destination; chic restaurants including brunch hotspot One+One; Trifecta, the stunning restaurant and cocktail lounge featuring Boston’s best cocktails and delicious New England fare; and more than 10,000 square feet of dedicated meeting and event space.
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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation. Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Conduct fundamental and applied research at the frontiers of applications of quantum computing for mRNA drug design including but not limited to optimization, quantum chemistry, and quantum machine learning.
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OfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with AI testing, powered by reinforcement learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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San Francisco and San Jose, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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The position assists the principal investigator and other team members with neuroimaging-based projects, such as neuroimaging data acquisition, data processing and analysis, and integrating machine learning methodologies at the Boston VA Health Care System.
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Current faculty interests are in applied mathematics and computational science in biological, earth science, engineering and physical contexts, and, especially, in biophysics, multiscale fluid mechanics, machine learning, medicine, neuroscience and soft materials.
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REQUIRED : Ph. D. in civil engineering, urban planning, computer science, operation research, industrial engineering, or a related field by the start of the appointment; experience with transportation systems, spatial and network analysis, optimization, machine learning, statistics, econometrics, large-scale datasets, and cloud computing; record of research that can shape the future of urban transportation and mobility; and strong publication record and communication skills.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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machine job Title: electrical in Waltham, MA
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