Top Fintech Machine Learning Engineer Jobs in Austin, TX

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 job involves developing and optimizing machine learning models, overseeing model risk, and collaborating with teams on AI-related projects.

The Lead Machine Learning Engineer will lead data and ML system development, manage technical challenges, and streamline data science initiatives within the AI Platform team at Visa.

The Senior Staff AI/ML Engineer will design, develop, and deploy scalable machine learning models, collaborating with teams to address business challenges and ensure high performance in production environments.

Develop and deploy machine learning models for predictive analytics, automate risk assessments, and extract data using advanced AI techniques. Collaborate with teams to enhance the product portfolio with innovative solutions.

As a Machine Learning Engineer, you will design, develop, and deploy voice and digital agents to manage customer interactions, focusing on reliability and efficiency.