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Key job responsibilities- Pre-training and post-training multimodal LLMs
- Scale training, optimization methods, and learning objectives
- Utilize, build, and extend upon industry-leading frameworks- Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
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