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The Technical Artist will work on fine-tuning and improving image and video models within Luma’s Applied team. Responsibilities include developing workflow pipelines, collaborating with data and design teams to enhance model aesthetics, and providing feedback on models from research teams. Candidates should have experience in Visual GenAI and a strong artistic background.

Lead the hiring function at Luma, collaborating with the executive team to define roles and manage hiring processes. Design and execute staffing plans, implement sourcing strategies, enhance candidate experience, and build an inclusive hiring environment. Promote employer branding and support the team in their recruiting efforts.

The Staff Software Engineer - Reliability at Luma AI will manage GPU clusters, ensure system health, build monitoring tools, and improve infrastructure to support growing demands. Responsibilities include collaborating on performance requirements, scaling resources, implementing fault-tolerant designs, developing automation tools, maintaining service level objectives (SLOs), and participating in on-call rotations.

The Staff Backend Engineer will design and build Luma's generative AI infrastructure, focusing on REST APIs and backend systems. Responsibilities include developing new user-facing features, collaborating with cross-functional teams, and maintaining system reliability. Work involves empowering engineers with tools and participating in an on-call rotation for critical incidents.

As a Staff Software Engineer - Frontend at Luma, you will design and build efficient front-end systems, collaborate with design and AI teams, and write production code emphasizing performance optimization and API integration, while maintaining high standards of quality and user experience.

The Senior Research Engineer will implement generative AI features, fine-tune models, and train ML classifiers within the applied research team at Luma. Responsibilities include model evaluation and building tools for data categorization.

The Senior Software Engineer for Reliability at Luma AI will maintain and optimize GPU clusters, collaborating with researchers and engineers to ensure efficient scalability and reliability. Responsibilities include building management tools, monitoring systems, and implementing fault-tolerant designs while participating in an on-call rotation for incident management.