Top Artificial Intelligence Jobs

The Staff Software Engineer will design and optimize control systems for general-purpose robots, focusing on motion planning, state estimation, and robust software frameworks for real-world applications.

The role involves designing and building robotic systems, improving simulation fidelity, maintaining hardware infrastructure, and collaborating with a team on physical AI projects.

Develop and optimize learning-based robotic manipulation control stacks, train robotic policies, and minimize the sim-to-real gap while collaborating with a dedicated team.

The role involves leading AI-driven productivity initiatives, analyzing business processes, defining solutions, and engaging with senior stakeholders to measure success.

The role involves developing, deploying, and maintaining AI and machine learning models. Key responsibilities include using frameworks for various AI tasks, integrating cloud services, processing big data, and creating data visualizations.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

As an Applied AI Engineer at Rillet, you will create and implement AI systems for financial data, oversee features from design to production, and collaborate closely with product teams to innovate solutions in ERP workflows.

Design and implement advanced AI systems, lead development teams, mentor junior staff, and ensure ethical AI practices while aligning strategies with business goals.

As a Senior Product Designer, you will enhance Agentic experiences, create high-quality AI patterns, define iterative experimentation playbooks, and collaborate with product teams.

Seeking a Senior AI Engineer to develop AI solutions, oversee project delivery, and collaborate on system architecture. Requires 5+ years with Python and AI technologies.

As a Product Engineer, you'll collaborate on AI solutions for expert sourcing, client portals, and autonomous agents, driving product vision and coding.

The AI Catalyst Leader will develop AI solutions, enhance operations, mentor teams, oversee data governance, and ensure ethical AI practices.

The role involves designing and managing AI infrastructure, deploying GPU systems, implementing virtualization, and automating infrastructure processes.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

The Full Stack Developer will design and develop enterprise-grade web applications, focusing on integrating AI technologies and collaborating with cross-functional teams to enhance user experiences.

As a Staff AI-Native Platform Engineer, you'll lead the integration of Generative AI, developing AI-based infrastructure and enhancing developer experiences across platforms.

Develop and integrate scalable full-stack applications using various technologies, including AI models. Collaborate with teams for optimal performance and user experience.

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

Define strategy for ASICs and co-packaged optics platforms, lead integrated system development, and collaborate with customers for AI network solutions.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

The Senior Manager of AI Innovation leads AI/ML research for robotics, driving innovation projects and managing a team. Responsibilities include overseeing project lifecycles and ensuring successful AI technology deployment across robotic systems.

Drive development of AI systems for education, enhancing grading, analytics, and student engagement. Collaborate with teams to architect scalable solutions.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

As an AI Solutions Engineer, you'll advise clients on ML/GenAI best practices, demo products, and strengthen technical and business relationships. Role involves strategizing with sales and collaborating with the product team for client success.