Responsibilities
- Design and develop large-scale annotation efforts for model post-training.
- Build tools to evaluate and benchmark multimodal language models.
- Develop large-scale AI training and inference methods.
- Ensure efficient implementation of models & systems for data processing and training.
- Build tools to visualize, evaluate and filter datasets.
- Collaborate with research and engineering teams across Luma to transfer research to products and services.
- Implement cutting-edge product prototypes based on multimodal generative AI.
Experience
- Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing, preparation & data loading to training and inference.
- Experience processing large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
- Hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models.
- Experience in design and development of annotation tools
- Experience in synthetic data
Compensation
- The pay range for this position in California is $200,000 - $300,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

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