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Advanced knowledge of math, statistics, multivariate analysis, statistical tests Advanced Python coding skills Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch Understanding of numerical implementations Understanding of cloud computing Knowledge of data querying knowledge of EMG, EEG, ECG, IMU, CV algorithms Experience with C.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures) , and computational chemistry, sciences and who is committed to building a high- preforming team.
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Apply and develop artificial intelligence and machine learning (AIML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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CPD is seeking a computational scientist specialized in machine learning to join our team. ( Responsibilities Develop machine learning (ML) methods to predict complex structures induced by molecular gluesDevelop and integrate generative AI algorithms for the design of small molecular glues Support the small molecule drug discovery projects at CPD using advanced ML methodsWork with leadership team to develop project proposals, timelines, and resource requirements.
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Proven experience as a machine learning engineer or similar role. Strong programming skills with proven experience implementing Python-based machine learning solutions. Collaborate with research and product development teams to build machine learning products.
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Working in a highly collaborative and interdisciplinary environment with ambitious goals, you will partner with other computational and bench scientists to conceive, implement, and validate machine learning that automate the interpretation of our physics-based ReSOLVE calculations.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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This role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties, and predict the outcomes of organic synthesis. PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry.
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Experience with building and iterating on machine/deep learning models using common frameworks such as PyTorch, Tensorflow, or JAX. Demonstrated expertise in implementing and fine-tuning neural networks, including design choices such as activation functions, loss functions, and regularization techniques.
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The Specialized Products & Advanced Research Capabilities (SPARC) Group is seeking a Principal Machine Learning Researcher to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security.
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If you have a solid foundation in machine learning and a keen interest in peptide/protein engineering and design, you could be pivotal in our journey. Your foundation in machine learning, combined with an interest in peptide/protein design, is what we value.
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FL97 is seeking a dedicated and skilled Machine Learning Engineer, Nucleic Acids to join our team. This role will focus on MLOps for training in large scale ML models of RNA and/or DNA. You will be part of a dynamic, cross-functional team responsible for developing and deploying machine learning models for sequence design.
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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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Graduate degree, preferably in geophysics, engineering, geology, computer science, machine learning, mathematics, statistics, or related field. Familiarity with machine learning frameworks and their application (i.e. pytorch, tensorflow.
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machine learning jobs in Boston, MA
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