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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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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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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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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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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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Lead the team in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques. Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Collaborate closely with the Director of HR at MHP to prioritize professional development with a focus on diversity, equity, inclusion, and belonging, This encompasses talent acquisition, retention strategies, and fostering internal growth opportunities.
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You will be working on a cross-functional team with a Product Manager, UX designer, dev ops specialist, machine learning engineers, and software engineers. We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart.
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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 designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MRC is an agency committed to diversity, equity, inclusion, and racial equity, as well as innovation and transformation and change, and creating a culture of agility, excellence, and belonging.
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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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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. Collaborate with machine learning, engineering, product development, professional services, DevOps, Data Intelligence, and coding quality assessment teams, for development & deployment of new machine learning techniques and follow deployments, tracking issues, and successes.
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Over the past few years, the BSO’s commitment to equity, diversity, and inclusion (EDI) has evolved from an organic approach of creating spaces for diverse artistic expression to a deliberate effort to address the structural and societal barriers to allowing for a convergence of artistic expression within broad historical, economic, social, and cultural contexts.
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equity inclusion product machine learning jobs Title: senior manager in Boston, MA
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