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Required Qualifications
In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
· Currently enrolled in a PhD program in Computer Science, Mathematics, or a related STEM field.
· Must have at least 1 year of experience in conducting research, writing peer-reviewed publications and software development.
Preferred Qualifications
· Experience with efficiency and scalability in large language models, e.g. architecture optimization, hybrid computing, adaptive computation, approximate inference, model compression and quantization, and/or efficiency for LLM-based agents.
· Experience in conducting research and publications in top conferences/journals, in at least one of the following areas: natural language processing, statistics, machine learning, and optimization.
· Strong programming skills, preferable in Python.
· Excellent written and verbal communication skills.
· Participate in a 12-week internship program designed to provide hands-on experience and professional development.
· Collaborate with mentors, other interns, and researchers to conduct cutting-edge research and develop efficient AI algorithms and models.
· Present your findings and actively contribute to the vibrant life of the research community. · Engage in various research areas to broaden your expertise.
· Intern opportunities are available year-round, though they typically begin in the summer.
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