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PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. 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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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness. Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies.
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We are looking for a rock star to join our team as a Machine Learning Engineer focused on protein design. To be effective in this role, you will need to be exceptional in structural biology, biophysics, and machine learning engineering.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Extracts data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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Develop computational frameworks to systematically characterize results from machine learning models from a biological perspective and provide feedback on improving the models. Ampersand Biomedicines, Inc is looking for an enthusiastic and self-driven AI/ML Engineer with deep expertise in development of AI/Machine Learning/Deep Learning to join our team in developing a cutting-edge platform to identify and design new multi-specific medicines across a spectrum of therapeutic areas.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Broad experience deploying production-grade machine learning solutions on-premise or in the cloud. Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks.
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Job Description MIT Lincoln Laboratory seeks a highly motivated, detail-oriented, curious and driven physicist, applied physicist, or researcher in a related field with hands-on lab experience.
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We are seeking an experienced, hands-on Principal Engineer with a strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
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Experience with: multivariate statistics, (e.g., machine learning, multiple regression, structural equation modeling, trend analyses) program evaluation, survey research, data acquisition and organization for the purposes of building statistical models.
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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. 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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Bachelor's or Master's degree in applied mathematics, statistics, electrical engineering, biomedical engineering, or a related field. Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) automating Java APIs, AWS Serverless solutions, and Angular front-ends using Selenium and JEST in a financial services environment.
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machine learning applied mathematics hands on jobs Company: Birlasoft in Watertown, MA
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