Top Machine Learning 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.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.

As a Machine Learning Engineer, you will enhance ML algorithms, write production-level code, and collaborate within a distributed engineering team to optimize TV advertising technologies.

Lead the architecture and development of scalable personalization systems using machine learning techniques. Define strategies for performance and reliability, mentor teams, and stay informed on industry innovations.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

The role involves designing, developing, and deploying ML models, collaborating with cross-functional teams, and improving model performance through testing and experimentation.

The Machine Learning Engineer develops and deploys ML models, collaborates across teams, and enhances a coding engine for health care providers.

Lead the development of ML algorithms for robotic manipulation, focusing on multimodal perception and real-world deployment, integrating with other robotics functionalities.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Lead a team of ML Engineers to develop technology for healthcare, emphasizing hiring talent, technical leadership, and collaboration with stakeholders.