Top AI Jobs in Austin, TX

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The role involves creating technical content, managing technical communities, and fostering relationships in cloud and AI technology while maintaining a hands-on approach with technology.

Lead product management for AI and automation, develop strategies, manage portfolios, empower teams, and drive customer-focused product decisions to enhance operational efficiency.

As a Software Engineer in AI Solutions, you'll manage the AI stack and product development, collaborating with stakeholders to enhance customer capabilities and business value.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As a Senior/Principal Product Manager at Samsara, you will lead a team, drive product solutions in safety AI, and champion company culture.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

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.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

The Staff AI Engineer will enhance AI software engineering in manufacturing through solution identification, development, and streamlined processes, primarily focusing on ML and computer vision applications.

Lead the design and deployment of AI systems focusing on computer vision and language models to enhance manufacturing processes. Mentor teams and ensure engineering excellence across cross-functional projects.

As an AI Platform Engineer, you'll develop and test AI infrastructure, collaborate with teams, implement robust software systems, and lead technical initiatives.

The role involves collaborating with customer teams on data solutions, improving data architecture, enhancing algorithms, and ensuring successful product adoption.

Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

Lead the AI Evaluations product framework at Dropbox, focusing on metrics, model performance, and user satisfaction for AI features. Collaborate with AI, data, and research teams to define success metrics and operationalize evaluation tools.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

Lead the development of responsive, engaging user interfaces for Mastercard's Agentic AI platform, ensuring design system alignment, performance optimization, and integration with backend services while writing high-quality code.

The Director, Enterprise Process Automation leads automation strategy, oversees RPA, IPA, BAW, and BPM initiatives and fosters a culture of innovation and continuous improvement.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

The AI Self-Service Program Manager leads AI-driven customer experience programs, focusing on Chatbot and Voice AI platforms to enhance support efficiency, customer satisfaction, and operational metrics through innovation and collaboration.

Lead a team of AI engineers to develop next-gen AI capabilities, manage delivery, ensure system robustness, and foster innovation.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

The Client Partner will lead and grow relationships with enterprise clients across various industries, drive client success, and identify growth opportunities for AI and digital transformation services.