Top Machine Learning Engineer Jobs in Austin, TX

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

Develop, train, and deploy machine learning models, and implement AI solutions using various frameworks and cloud services. Collaborate on data processing and visualization to drive insights.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

Lead development and production deployment of advanced ML and time-series models for water and infrastructure systems, perform research in Physical AI, collaborate cross-functionally, communicate impact to stakeholders, and mentor junior data scientists.

Design, prototype, and deploy movement and running-dynamics algorithms using wearable sensor data. Translate raw multi-axis sensor signals into production-grade movement metrics, collaborate with hardware and product teams, and validate algorithms for athlete-focused insights.