Top Hybrid Machine Learning Engineer Jobs in New York City, NY

The Director of Machine Learning Engineering will lead a team to develop, deploy, and optimize ML systems, collaborating with data science and engineering teams to drive business outcomes and enhance customer experiences.

Develop custom models and algorithms for large datasets, collaborate with stakeholders to leverage data for business decisions, and assess data sources and techniques.

As a Staff Machine Learning Engineer at Angi, you'll lead model development, deploy MLOps solutions, collaborate across teams, foster innovation, and mentor juniors to enhance machine learning capabilities.

The role involves leading a team of ML engineers to develop AI models for real-time communication, overseeing end-to-end ML development, and fostering an innovative team culture.

The role involves developing and deploying machine learning models, ensuring quality standards, collaborating with teams, and keeping up with AI advancements.

The Machine Learning Engineer II will develop and maintain AI/ML systems, manage cloud operations, and collaborate across teams to deploy ML-powered tools.

Develop AI/ML models for credit risk in lending products, collaborating with teams to optimize data strategies and ensure model compliance.

Join Influur as a Machine Learning Engineer to develop and optimize AI systems for influencer marketing, collaborating with engineering and product teams.

The Machine Learning Engineer will manage the end-to-end ML lifecycle, collaborate with cross-functional teams, develop production models, and monitor their performance in high-stakes environments.

Design machine learning models, maintain data pipelines, develop scalable model servers, and collaborate on product roadmaps.