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Retail, Financial Services, Manufacturing, Technology, Artificial Intelligence, Machine Learning, Data Analysis, Healthcare, Natural Language Processing, Speech Recognition.
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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus.
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We have a strong preference for building our own backend technology, so you'll be implementing and working with the latest natural language processing (NLP) techniques and ideas. As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt's data platform.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
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Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc) Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards, and segmentation; responsible for data integrity.
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Our work spans many disciplines, such as information retrieval, natural language processing, and machine learning. Work with the DevOps team on defining the infrastructure requirements for data products to operate reliably at scale, serving analytics and machine learning, and other use cases.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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Ph. D. in computational biology, systems biology, engineering, machine learning, or a related discipline, with 3+ years of working experience post graduation. insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
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A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field. Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing.
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Experience with natural language processing (NLP) and text generation is a plus. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Advanced knowledge of clinical research, signal processing, time series analyses, EEG/ECoG/iEEG, advanced statistics, Python, brain stimulation therapies, neural modelling, biomarker development, and brain stimulation and recording techniques.
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. It’s the first and only personal training solution that can track your motion and use that data to give you a richer and more effective workout in live and on-demand classes.
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learning natural language processing full time data engineering jobs in San Francisco, CA
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