Top Software Machine Learning Engineer Jobs in Austin, TX

The Senior AI/ML Scientist will design and deploy advanced ML solutions for automotive applications, focusing on diagnostics and predictive maintenance, while mentoring junior engineers.

Lead the development of ML models for search and personalization at Realtor.com, driving innovation and mentoring talent in a collaborative environment.

The Machine Learning Engineer Intern will build and operate AI-driven application pipelines, working with Data Scientists and Engineers to support cloud-based ML solutions.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

As an AI & ML Engineering Intern, you'll design and build internal AI-powered tools, automate workflows, and contribute to shared AI infrastructure, with a focus on LLMs and machine learning frameworks.

Lead the design, development, and deployment of foundational ML systems, influence architecture, mentor engineers, and drive strategic initiatives within SailPoint's AI team.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.