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Key job responsibilities
- Design and execute experiments to evaluate the performance of different decoding algorithms and models, and iterate quickly to improve results
- Develop deep learning models for compression, system optimization, and inference
- PhD, or Master's degree and 4+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- PhD in Computer Science, Machine Learning, or a related field, with a focus on GenAI
- Demonstrated experience in developing and implementing decoding algorithms and knowledge of model compression, optimization, and inference
- Experience with Large Language Models (LLMs) and multimodal systems
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
These jobs might be a good fit