Top Machine Learning Engineer Jobs in Austin, TX

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

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

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Develop and implement machine learning models for cybersecurity risk assessment and threat intelligence while collaborating with cross-functional teams.

The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.

The Sr. ML Engineer will enhance Visa's AI platform across various environments, optimize code, develop solutions, and build high-performance systems using cloud technologies and machine learning techniques.

The Senior AI Software Engineer will design and optimize inference engines in C++, focusing on performance for on-device Apple applications, and implement advanced machine learning architectures.

The Sr. Machine Learning Engineer will build tooling and services for ML and generative AI solutions, focusing on deployment, evaluation metrics, and cross-functional collaboration.

The Sr. Machine Learning Engineer will analyze data, develop risk control strategies, prepare reports, and partner with teams for implementing risk strategies using ML tools.

As Machine Learning Tech Lead, you will design and implement AI solutions, manage projects, oversee code quality, and mentor team members while ensuring compliance and fostering a collaborative environment.