The Recruiter will source and assess software engineers and engineering leaders, focusing on candidates with a startup mindset and fluency in AI.

The Product Manager will define the strategy for Dream Machine, oversee product development, and enhance user engagement for consumer-focused AI creative tools.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

As a Research Sourcer, you'll build talent pipelines for elite researchers in AI, engage with hiring managers, and enhance sourcing strategies.

As a Technical Artist, you'll bridge research and application by architecting pipelines, fine-tuning models, and ensuring high aesthetic quality, collaborating closely with design and research teams.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

The Influencer Marketing Manager will own and scale creator marketing initiatives, collaborating with platforms and analyzing performance metrics to drive growth.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As an iOS Engineer, you'll architect and build the Dream Machine app, optimizing performance and collaborating with teams to enhance user experience.

The role involves optimizing multimodal generative models for realtime applications, designing new algorithms, and developing interactive capabilities.

As the first Data Scientist, you will build Luma's data science infrastructure, define key metrics, and support product and growth initiatives through data-driven insights.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The AI Tooling Engineer will build full-stack applications, design ML pipelines, collaborate with researchers, and integrate open-source frameworks to enhance user interfaces for generative AI.

Luma AI seeks high agency talent for various roles across research, product engineering, marketing, and strategy. Ideal candidates are innovative, detail-oriented, and proactive in showcasing their work and achievements.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The AI Data Manager will design data annotation strategies, manage data pipelines, and collaborate with researchers to enhance AI models.