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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.

Lead sales initiatives for Luma in the UK, develop and execute a sales strategy, engage key decision-makers, and maintain a strong sales pipeline.

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

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.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

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

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

Build end-to-end production workflows and working prototypes using generative image and video models. Pressure-test models and endpoints, create demo and customer boards for sales, and develop reusable templates, pipelines, and documentation to scale creative AI solutions across accounts.