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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Advanced degree (PhD or MS) in Computer Science, AI, Machine Learning, or a related field.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$212,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, 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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Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/computational linguistics, and machine learning are strongly encouraged to apply.
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Qualifications: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and quantum chemistry, experience with machine learning regression methods.
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The Machine Learning Engineer (PMTS) designs and implements machine learning (ML), artificial intelligence (AI), and data science tools to projects spanning various domains.
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Experience working with digital educational content or designing learning experiences as an instructional designer, a learning experience designer, a creative role in ed tech, in educational publishing, or with experimental pedagogical approaches in the classroom.
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As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large.
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Comprising a Total Rewards Manager, Learning + Development Manager, Recruitment Manager, Learning + Development Designer, and People + Culture Coordinator, our people operations team is highly talented, committed, and respected across the firm.
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REPORTS TO: The position reports to the Assistant Director of Related Services and Site Coordinator, who works in close collaboration with the Director of Extended School Year and Expanded Learning in the Office of Special Education.
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Ability to operate, maintain and properly clean dishwashing machine, sinks, floor cleaning equipment, and silver burnisher. Responsibilities Include (but are not limited to):Clean and sanitize china, glass, and silver using the dishwashing machine; load and unload dishware and flatware from dishwashing machine and store properly.
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Newly-funded startup (Seed with $120M valuation) is looking to hire their first Machine Learning Engineer. Core Machine Learning: 5+ years relevant experience in Deep Learning, Graph-based ML, NLP, etc.
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machine learning jobs Title: learning engineer Company: Amazon in Boston, MA
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