Top Data Engineer Jobs in NYC, NY

The role involves developing NLP capabilities for Peloton's fitness content, enhancing existing platforms, conducting experiments in NLP, building and deploying machine learning models, and optimizing search algorithms.

The Machine Learning Infrastructure Engineer will develop and support ML infrastructure for AI/ML teams, collaborating closely with engineers and scientists. Responsibilities include building scalable infrastructure for ML model development, managing lifecycle and monitoring, and creating an internal training platform for offline experimentation.

The Senior Machine Learning Engineer will manage AI/ML projects from concept to deployment, optimize ad serving and search products, implement evaluation tools for models, and mentor junior members while collaborating across the organization.

As a Senior Manager in Machine Learning Engineering, you'll lead an Agile team focused on productionizing and optimizing ML applications at scale. Responsibilities include designing, building, and validating ML models, collaborating with cross-functional teams, implementing cloud-based architectures, and ensuring responsible AI practices. You'll also oversee the management of ML systems and lead teams towards developing scalable and efficient solutions in a fast-paced environment.