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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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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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The ideal candidate will possess a strong foundation in machine learning, classification and clustering algorithms, sequencing technologies, and computational biology. Fluency in scripting languages (Python, R, Perl, Node.js) and proficiency in R-Shiny.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Examples are machine set-up and operation, machine maintenance and repair, material storage and handling, ESD protection and soldering techniques. Create, optimize, and maintain the SMT programs for the Pick & Place Machines, Solder Pastc Printers, Automatic Optical Inspection Machine, Automatic Solder Paste Inspection Machine, and Reflow Ovens.
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Strong machine learning experience is preferred. Develop AI/ML models, knowledge graphs and NLP pipelines; incorporate computational strategies with graph-neural networks, deep learning, multimodal fusion, transformer models, transfer learning, contrastive learning as appropriate.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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National certification (CPhT) - Staff adheres to all C.A.R.E. Standards - Must be able to understand and clearly communicate with all areas of health care personnel - Must understand the basic operations of the Pharmacy Department, including processing prescriber medication orders, the operations of the Omnicell cabinets and software, Epic, the repackaging (pre-packing) machine, and any other technology that the Pharmacy employs in its operations.
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Signal Processing: Experience with radar signal processing techniques, DSP algorithms, and Machine Learning is preferred. Extensive industry experience as an Embedded Software Engineer, with a focus on embedded systems and low-level programming.
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Familiarity with machine learning or AI tools used in drug discovery is a strong advantage. A boutique consultancy specializing in Data Science support and strategy is seeking a Senior Data Engineer to support a large drug discovery project with a leading commercial Biopharma firm in Boston.
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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Develop the proprietary trading system, data warehouse, service-based architecture, machine learning platforms, and simulation tooling.
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Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
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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.
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machine learning jobs Title: electrical engineer in Allston, MA
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