Top Artificial Intelligence Machine Learning Engineer Jobs in New York City, NY

Adobe seeks a Machine Learning Engineer for applying AI techniques to enhance customer experience through predictive models and analytics. Responsibilities include developing scalable algorithms, collaborating on product features, and solving complex business problems using statistical and machine learning methods.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.

As a Model Behavior Architect, you will improve LLM system behavior, collaborate on AI models, and design evaluation frameworks.

The ML Engineer will build, deploy, and iterate on ML systems, focusing on classification, human feedback loops, and working with real-world data.

The ML/AI Engineer will define machine learning direction, develop automated pipelines, integrate models, and collaborate with product teams to solve user problems.

As an AI Software Engineer, you'll develop production-level code in Java, design LLM applications, analyze data, and collaborate on AI model solutions.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

The Applied Scientist will design and implement machine learning models, collaborate across teams, improve model performance, and contribute to internal research initiatives.

The Machine Learning Engineer will develop the internal ML environment, partnering with research to ensure models are production-ready and optimizing infrastructure performance.