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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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Head of Machine Learning & Data Science (US/KR)Executive Director, Head of Data & AI Governance and Policy, R&DHead of Computational Science & Data Strategy, ResearchExecutive Director, Head of Data & AI Governance and Policy, R&DPlatform Head, Data & Software Engineering Visit the Career Advice Hub to see tips on interviewing and resume writing.
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Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions.
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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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Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
$178,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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Experience applying machine learning (in particular deep learning) to health data, time series problems or both. As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. Our tech stack : We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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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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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar.
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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. Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Skills required Data structures Data pipeline Azure Python Spark Employee location San Francisco, CA, USA Experience level Not specified Workplace type onsite Job type full time contract Compensation $15 - 25 /hr Currency USD.
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