Top Fintech Machine Learning Engineer Jobs in Chicago, IL

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

The role involves building machine learning models, collaborating with cross-functional teams, and translating complex data insights into business solutions.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

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.

The Machine Learning Engineer will develop fraud prediction models using anomaly detection and supervised learning, collaborating with various teams, and ensuring data integrity.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.