Top Machine Learning Engineer Jobs in Austin, TX

In this role, you will design and develop AI and machine learning models, maintain data pipelines, evaluate model performance, and collaborate with cross-functional teams to integrate AI capabilities into web-based applications.

As a Machine Learning Engineer, you will develop and deploy adaptive ML systems, collaborate with partners, and lead product strategy.

As a Machine Learning Engineer, you'll design and implement detection systems, enhance model efficacy, and analyze datasets to improve email detection against security threats.

Design and build agentic systems for financial workflows using AI, LLMs, and optimize AI models for production environments.

The Director of Engineering will lead the AI Inference team, optimizing LLM inference pipelines and driving research and development in inference technologies while mentoring developers.

As a Staff AI Engineer, you will design and implement core components of an AI tutoring system, drive experiments, and integrate LLM capabilities into user-facing experiences to enhance learning outcomes.

Lead the vision, strategy, and execution of the machine learning platform at Flex, focusing on compliance, customer success, and internal operations. Build and mentor a team of ML engineers and data scientists to deliver scalable ML systems.

The AI Engineer will improve text-to-SQL accuracy, build evaluation frameworks, and develop production-grade LLM applications, collaborating with engineering and customers for enhancements.

As a Staff Machine Learning Engineer, you'll design and productionize ML models, collaborate with various teams, and mentor junior staff, impacting mental health care accessibility.

Design and build applications in Python, collaborate with clients, optimize performance, and ensure code quality in AI-driven projects.