Top Machine Learning Jobs in New York City, NY

As a Machine Learning Engineer at Peloton, you will enhance NLP/NLU capabilities by building and deploying machine learning models, conducting experiments, and optimizing search algorithms. You will work with other team members to address challenges in natural language processing and improve fitness content through AI techniques.

The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.

As a Senior Machine Learning Engineer, you will lead the design and implementation of ML strategies, mentor engineers, and drive the development of scalable machine learning algorithms across products at Personio. This role requires collaboration with cross-functional teams and the ability to analyze technical problems while ensuring coding standards are maintained.

The Senior Staff Machine Learning Engineer at CNN will lead the design and evaluation of machine learning models and systems, focusing on open-source projects and methodologies. Responsibilities include mentoring engineers, collaborating across teams to drive ML projects, and applying advanced NLP techniques, while advocating for innovation based on data-driven insights.

The Applied AI Scientist will develop advanced algorithms and execute statistical techniques on large datasets to identify trends. Responsibilities include evaluating emerging datasets, owning the development of assets for scaling capabilities, and contributing to the firm's thought leadership through research and publication.

The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.

The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.