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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Experience working with machine learning algorithms such as Scikit-Learn, TensorFlow, PyTorch, MXNet, etc. Experience in designing, testing and deploying machine learning frameworks to rapidly iterate on model development & deployment.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Our core tenets are educating broad-minded students; interdisciplinary research; integration across disciplines; and balancing theory, experimentation and practice to create an unmatched environment for learning and exploration.
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All-around training in all areas of tool making and conventional soft machining, CNC Machining, hard machining, heat treatment, precision grinding, precision ram EDM, precision wire EDM, mold making, die making, electrode manufacturing, proto-typing, machine assembly and debug, planning, quality and metrology.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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AI & Computational Sciences, Novartis Biomedical Research Leadership Role in Chemistry-based AI/Machine Learning. AICS is seeking a highly motivated and experienced leader in the field of Chemistry-based AI/Machine Learning to drive the frontier of drug discovery.
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The ideal candidate will have a robust background in data science, machine learning, bioinformatics, and specific expertise in DNencoded library (DEL) machine learning and small molecule 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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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. The pace of learning at a startup like Jerry is rapid, and you can expect your scope of responsibilities to grow quickly if you excel in your role and demonstrate a willingness to keep growing.
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Masters or Ph. D. with experience in Machine Learning/Statistics/Data Science Experience with traditional as well as modern machine learning/statistical techniques, including NLP algorithms, LLMs, and quantization strategies.
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Reporting to he Associate Vice Provost - Academic Space Planning, the 1) will catalyze a design thinking and entrepreneurship culture, while creating a safe and welcoming transdisciplinary teaching and learning environment for the Northeastern community.
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Experience with machine learning and algorithm development and modern geographic information systems (GIS) is required. Requirements Masters degree in a relevant technical field Extensive practical experience with spaceborne, airborne, and/or UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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machine learning jobs Company: Pwc in Cambridge, MA
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