Multimodal AI Research Engineer Role

About

Transform AI research into practice at Luma AI as a Research Engineer dedicated to multimodal agents. This remote-friendly position offers a chance to innovate at the forefront of technology.

You'll play a key role in architecting and training large-scale models that combine various modalities, engaging in both research and product development. Utilize your extensive knowledge of data systems and model evaluation to contribute to projects serving Fortune 500 companies. Join an ambitious team on a path to elevated AI capabilities.

Key Responsibilities:

• Develop multimodal agentic models using planning and reasoning
• Create robust data pipelines for managing pixel datasets
• Train large-scale models on GPU clusters efficiently
• Establish evaluation criteria for multimodal agents

Requirements:

• Solid foundation in machine learning and foundation models
• Hands-on experience with PyTorch and distributed training
• Deep knowledge of LLM/VLM interactions and coding processes
• Ability to formulate innovative tasks through data manipulation
• Experience in developing evaluation frameworks for AI models

Strategize the future of multimodal intelligence with your modeling expertise at Luma AI, making a significant impact in various creative fields.