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Senior Machine Learning Engineer page is loaded. Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness.
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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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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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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 5 days ago - UpvoteDownvoteShare Job
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Ensure that respect for diversity, equity, and inclusion, social-emotional learning, and academic excellence are emphasized as core values of the School. We welcome candidates who will add to the diversity of our community and who have demonstrated a commitment to diversity, equity, and inclusion in their teaching and learning.
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Collaborate with the Director of Diversity, Equity, & Inclusion to keep multiculturalism and diversity as a priority of curricular work and curriculum development Ensure that respect for diversity, equity, and inclusion, social emotional learning, and academic excellence are emphasized as core values of The Park School.
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The Equity Derivative Portfolio Manager will work closely with teams across Investment Management, Barings and Enterprise Risk. Equity Derivative Portfolio Manager. This high-profile group works across all of Investment Management as well as with our other internal stakeholders including product, actuarial, treasury, accounting, risk, compliance, and external partners, including our primary asset management subsidiary Barings and the major Wall Street derivative broker/dealer counterparties.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value "decision support" solutions.
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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. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Extremely generous equity package coupled with competitive salary. Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers. Your cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them.
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Create and implement strategies to promote and grow a culture of belonging, equity, and inclusion across MHP via internal and external engagement, events, and programming. At MHP, we prioritize cultivating a sense of belonging as the ultimate goal of our diversity, equity, and inclusion initiatives.
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Racial Equity Advisory Committee (REAC), Gender Justice and Inclusion Hub, People, Culture and Global HR (PCHR), Executive Office and Strategy Team, Senior Leader Team (SLT). At least three (3) years of experience in a similar role, or related field of equity, diversity, inclusion, and anti-racism and experience should include project management experience.
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AWS Cloud Engineer w/ Machine Learning Ops. You are familiar with applied data science methods, feature engineering and machine learning algorithms. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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equity inclusion product machine learning jobs Title: senior product manager in Cambridge, MA
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