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Research Scientist / Engineer – Data - Remote

Posted Yesterday
Data Analysis
Full Time
CA, USA

Overview

Data is a fundamental layer in Luma that unlocks advanced capabilities in our foundation models. We tackle the fundamental data questions around how different modalities can be combined to enable new behaviors and capabilities, working on the open-ended challenges of what makes multimodal AI systems truly powerful and versatile.

In Short

  • Identify capability gaps and research solutions
  • Design datasets and data-mixture ablations to systematically improve model capabilities across vision, audio, and language
  • Develop evaluation frameworks and benchmarking approaches for multimodal AI capabilities
  • Create prototypes and demonstrations that showcase new multimodal capabilities

Requirements

  • Strong programming skills in Python and PyTorch
  • Experience with large-scale dataset
  • Experience with multimodal data processing pipeline
  • Understanding of computer vision, audio processing, and / or natural language processing techniques
  • (Preferred) Expertise working with interleaved multimodal data
  • (Preferred) Hands-on experience with Vision Language Models, Audio Language Models, or generative video models

Benefits

  • To be determined
Luma AI logo

Luma AI

Luma AI is dedicated to advancing multimodal artificial intelligence to enhance human creativity and capabilities. The company believes that integrating various modalities is essential for developing intelligent systems that surpass traditional language models. Luma AI focuses on training and scaling multimodal foundation models that can perceive, comprehend, and interact with the world, aiming to create systems that are not only aware but also capable of effecting meaningful change. The team is committed to optimizing performance across diverse hardware platforms, ensuring that their state-of-the-art models are accessible to a wide audience at the best performance-to-cost ratio.

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