Top Machine Learning Jobs in New York City, NY

The Generative AI Vice President will lead the optimization of LLM-based AI products, manage API scalability, and collaborate with cross-functional teams to drive innovation. The role combines expertise in AI, machine learning, and cloud technologies, focusing on aligning technical solutions with business goals.

The Senior Staff AI Software Engineer will develop AI applications for Gusto that enhance operational efficiency for small businesses. Responsibilities include building applications, collaborating with Gusto's co-founder on code deployment, and mentoring junior engineers.

As a Senior Machine Learning Engineer, you will design and build proprietary machine learning models to enhance user targeting and dynamic Ads content generation, leveraging advanced AI techniques. Collaborating with cross-functional teams, you will contribute to the productionization of models, maintain code quality, and mentor team members in a fast-paced environment.

As a Senior Machine Learning Engineer at Hinge, you will develop AI and machine learning solutions to mitigate bad actors, remove inappropriate content, and enhance user safety. Collaborating with various teams, you will design scalable systems, evaluate performance, and continually improve safety measures based on user feedback and ethical standards.

As an AI Research Scientist, you will lead the design and implementation of large-scale experiments, enhance existing products using advanced machine learning techniques, and publish research findings. You'll collaborate with partners on research initiatives and refine methodologies under minimal supervision.

The Data Analytics Senior Consultant will create automated scorecards and scenario analysis tools for underwriting strategies. They will leverage analytical and technical skills to drive significant business impact, collaborate with senior underwriting leadership, and utilize various data sources to provide insights for decision-making. The role involves managing multiple projects and providing guidance to less experienced colleagues in a dynamic environment.

As a Data Scientist II, you will design and implement machine learning solutions to improve restaurant recommendations, validate model performance, and collaborate with product and engineering teams. Responsibilities include maintaining automated training jobs, creating metrics dashboards, and exploring innovative algorithms to refine insights.