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

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

The Senior Applied Scientist will build models for credit risk and fraud functions, leveraging machine learning and collaborating with teams to derive insights from data.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

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

The role involves developing ML techniques for code security, training models, building evaluation pipelines, and collaborating on research innovations.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

As a Senior ML Engineer, you'll design, develop, and deploy ML models for product features, collaborate with teams, and drive research initiatives.

The Senior Machine Learning Engineer will manage ML and AI model lifecycles on Databricks, automate deployment pipelines, collaborate with teams, and ensure model performance and compliance.