Top Machine Learning Engineer Jobs in Austin, TX

As an AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on tuning and evaluating models for digital experience assurance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks for deep learning and transformer-based models, especially with large language models.

The Staff Machine Learning Engineer will lead the development of AI/ML strategies to enhance customer support experiences at Canva, focusing on natural language processing systems, collaboration with product and engineering teams, and building machine learning models.

As a Senior AI Engineer, you will train and tune AI/ML models, build evaluation frameworks, and collaborate on large-scale AI/ML pipelines while optimizing networks for application performance.

The Machine Learning Research Engineer will conduct research on deep learning for price forecasting, develop training and inference pipelines, enhance open-source frameworks, and collaborate with researchers to improve trading systems.

The Machine Learning Performance Engineer will build scalable training and inference pipelines for deep learning, improve deep-learning frameworks, identify performance issues, collaborate with researchers and engineers, and gain knowledge of trading systems.