Top Fintech Machine Learning Engineer Jobs in Austin, TX

As a Staff Applied Scientist, you will develop and deploy advanced credit and risk models, leveraging machine learning to optimize lending decisions. Collaborate with Product, Engineering, and Analytics teams to enhance OnePay's credit access and ensure responsible AI practices.

As a Staff Machine Learning Engineer, you will design scalable ML systems, mentor engineers, solve complex problems, and optimize models in a fintech environment.

As a Staff Machine Learning Engineer, optimize card pricing models, lead ML lifecycle, collaborate with experts, and enhance predictive features.

The Machine Learning Researcher will develop and implement machine learning models, create reports and data tools, and contribute to the entire ML workflow for Topstep's business operations.

The Sr. AI Solutions Engineer will manage customer onboarding for the Agentic AI product, translating workflows, troubleshooting issues, and ensuring client success.

As a Machine Learning Engineer, you will fine-tune models, shape data pipelines, evaluate AI behavior, and collaborate on product features in a high-autonomy environment.

The Senior Machine Learning Engineer will develop full-stack tools, collaborate on research, and build production ML systems, optimizing infrastructure for AI startups.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.