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Top Remote Machine Learning Jobs in NYC, NY
The Machine Learning Engineer will enhance Peloton's personalization through AI and ML by building and improving ML pipelines, applying advanced machine learning techniques, running A/B tests, and collaborating with various teams to deploy and monitor models. This role offers the chance to work with granular data in the fitness industry to drive engagement and user experience.
The role involves building computer vision models for 3D scans, researching state-of-the-art machine learning methods, working with product and research teams to improve product lines, and implementing best practices for MLOps pipelines, all while working with large datasets.
This role involves developing machine learning tools for patient data, performing analysis on longitudinal patient data, and integrating clinical insights using R and Python. The candidate will collaborate with various stakeholders and contribute to innovative machine learning approaches for clinical insights.
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The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
The Senior Machine Learning Engineer will build scalable machine learning systems, enhance entity resolution algorithms, and develop ML infrastructure. Responsibilities include designing reliable ML solutions and collaborating with cross-functional teams to optimize performance and testability.
The Senior Machine Learning Engineer will design and implement complex machine learning models and algorithms, conduct experiments, maintain scalable infrastructures, mentor junior members, and communicate project results to stakeholders, all while enhancing data quality in a fast-moving organization.
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