Top Artificial Intelligence Jobs

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

The role involves developing an AI-powered SRE agent, focusing on autonomy, system performance, reliability, and architecture. Responsibilities include building complex systems, implementing evaluation frameworks, and enhancing observability.

The Senior Data and AI Engineer will lead technical projects, merge data solutions with business needs, and mentor teams while improving enterprise data architecture.

As an AI Research Engineer, you will work on developing AI video ad models, collaborating with teams, and contributing to research for publications.

Design and build AI-powered analytical data and machine learning infrastructure, ensuring reliability and efficiency while collaborating with teams across the organization.

The Sr AI Solutions Analyst II supports AI solutions adoption, collaborates with stakeholders, ensures compliance, and drives implementation across business units.

Design and develop scalable AI capabilities, integrating ML models and APIs. Collaborate with teams to ensure solutions meet security and performance standards in cloud environments.

The Principal AI DevOps Engineer leads the implementation of scalable AI/ML infrastructure, manages CI/CD pipelines for AI models, and collaborates with teams to ensure reliability and security of AI systems.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The AI Research Engineer will design and implement ML models, develop RL algorithms, and collaborate on integrating ML systems, enhancing AI experimentation.

The GRC AI SME will design AI prompts, maintain datasets, evaluate AI quality, ensure responsible AI use, document processes, and collaborate with teams to improve AI-driven GRC workflows.

Develop and maintain end-to-end ML pipelines on Azure, manage infrastructure as code with Terraform, and optimize deployment processes in collaboration with data and product teams.

As a Software Engineer for AI Engine at Topaz Labs, you will optimize performance, enhance app stability, and improve API while supporting Deep Learning research and hardware partners.

As a Senior AI Engineer, you will develop AI/ML solutions, design enterprise-grade systems, collaborate with teams, and provide mentorship while ensuring compliance and optimizing performance.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

As a Graphics Engineer, you will develop high-performance graphics systems, optimize rendering components, and collaborate with various teams to enhance Meshy's 3D generative AI technology.

Develop and maintain high-performance Python-based backend APIs, ensuring robust data management and collaborating with various teams to enhance cybersecurity products.

Lead the development of AI systems within the Unity engine, designing and scaling AI agents, collaborating on innovative gaming applications, and ensuring quality in ML practices.

Lead the Agentic AI mission, guiding product strategy and roadmap, managing a team of product managers, and driving market analysis.

The Principal Product Manager will drive AI-powered workflows to enhance game development efficiency and democratize creation, collaborating with cross-functional teams.

Lead onboarding for new customers, converting logistics workflows into agent configurations, and ensuring client satisfaction and measurable value quickly through integration and cross-functional coordination.

Lead AI strategy creation, identify workflow inefficiencies, manage change, and engage stakeholders to implement AI solutions for clients.