Artificial Intelligence Jobs in Visalia, CA

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

The IP Counsel will advise on AI, open source software, and IP transactions, ensuring compliance and facilitating engagement with the open source community.

As a Senior GenAI Algorithms Engineer, you'll design, develop, and optimize AI solutions, focusing on large language models and collaborating with partners to improve algorithms and frameworks.

Lead the development of AI/ML platforms, manage a team, optimize ML workflows, ensure platform meets researchers' needs, drive innovation.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

Lead a team in defining and building NVIDIA's self-driving software. Manage technical product and program execution for autonomous vehicle projects.

The role involves developing ML models, leading research projects globally, and reviewing AI/ML literature to enhance techniques and methodologies.

This role involves managing developer relations for a CSP, focusing on AI and GPU acceleration while building partnerships and ensuring successful application integration.

Collaborate with stakeholders to develop AI/ML platforms, implement CI/CD pipelines, and support live systems, while leveraging strong software skills in diverse programming languages.

Lead requirements analysis, design full-stack systems with agentic AI, develop cloud-native services, mentor teams, and integrate AI-driven components.

The role involves developing technical content, engaging with engineering teams, conducting competitive analysis, and leading go-to-market execution for AI inference products.

Design and implement efficient inference systems for generative AI models, optimize performance benchmarks, and collaborate with engineering teams to translate research into robust, high-quality systems.

Lead the design and development of agentic AI applications, mentors engineers, collaborates with cross-functional teams, and optimizes performance across distributed systems.

The Senior Account Manager will drive revenue by managing enterprise accounts, creating strategies, and building relationships with customers and partners in the AI industry.

The Senior Math Libraries Engineer will design, develop, and optimize HPC software for AI and matrix operations, while leading projects and mentoring. Collaboration with various teams and technical leadership are key responsibilities.

Assist customers in adopting HPE PCAI products, manage onboarding projects, provide product training, and ensure successful customer engagement and satisfaction.

As an AI Product Manager, you will drive the enterprise-wide AI strategy, manage AI platforms, mentor talent, and ensure compliance and governance in AI deployments.

Manage AI product development, driving discovery, execution, and data-driven decisions to improve customer outcomes. Collaborate with teams.

The role involves designing, implementing, and maintaining ML algorithms and systems, collaborating with teams, and integrating AI into applications.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

Develop and implement machine learning algorithms for genomic technology, collaborating with cross-functional teams and optimizing performance across various data types.

The Business Development Manager will engage clients, grow customer base, sell AI services, manage accounts, and drive revenue across various sectors.

Design and optimize high-performance AI systems for the CUDA ecosystem, collaborating across the AI stack and with various teams to push innovations into products.