Key job responsibilities
Explore emerging inference optimization techniques for LLMs and diffusion models
Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
Communicate results and insights to both technical and non-technical audiences, including through presentations and written reportsA day in the life
3+ years of research experience
PhD, or Master's degree and 6+ years of applied research experience
Experience with neural deep learning methods and machine learning
Knowledge of Machine Learning algorithms and techniques
PhD in Computer Science, Machine Learning, or a related field, with a focus on GenAI
Experience in developing and implementing algorithms for LLMs and/or diffusion models inference
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
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