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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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What You’ll Bring Master's or PhD preferred degree in Robotics, Computer Science, Electrical Engineering, or a related field. Proficient in core robotics technologies such as deep reinforcement learning, imitation learning, object detection, semantic segmentation, and SLAM, with a demonstrated ability to apply these in practical robotics contexts.
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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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Bachelors degree in Physics, Chemometrics, Chemical or Electrical Engineering or related pharmaceutical science and 8+ years relevant industry experience. Masters degree in Physics, Chemometrics, Chemical Engineering or related pharmaceutical science 6+ years relevant industry experience.
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We are seeking a patent agent with a degree in mechanical engineering, electrical engineering, computer science or a related field to join our IP Prosecution team. Assess scientific literature, patents, and patent application documents, each encompassing a variety of mechanical engineering, electrical engineering, computer science and related fields.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation. Director, Quant Data Engineering.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Experience in data recognition / analysis technologies and how they are used in Machine Learning, Data Analysis, Artificial Intelligence, Cognitive Neural Networks, ECM-solutions, Document Management.
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Data Engineering - Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have previous experience working with start-ups and a passion for implementing data engineering best practices to support machine learning pipelines. Collaborate with data scientists and ML engineers to develop and operationalize MLOps pipelines, ensuring efficient deployment and monitoring of machine learning models.
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PhD in Chemistry or Electrochemistry preferable; Other applicable fields include Chemical Engineering, Material Science and Engineering, and related areas. Job Title: Scientist (Electrochemistry.
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WorldStrides offers experiential learning programs in educational travel, performing arts, language immersion, career exploration, service-learning, study abroad, and sports. WorldStrides is the global leader in educational travel and experiential learning.
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Founded in 1913 by teachers interested in innovative teaching and learning, Boston Children’s Museum (BCM) has since evolved into a world-renowned children’s museum offering enriching experiences for children and families in STEAM (science, technology, engineering, art, and math), culture, health, and the performing arts.
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electrical engineering machine learning jobs Title: applied scientist Company: Apple in Boston, MA
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