Description:
We are currently looking for interns with solid Computer Science, Machine Learning, Statistics and Mathematics backgrounds who would be interested in exploring research directions in one of the following general domains:
(i) Large Language Models (LLMs), Natural Language Processing (NLP)
(ii) Machine Learning (ML) Foundations—including in Architecture, Optimization, Graph Neural Networks (GNN), Multi-Modal Learning (MML), etc.
(iii) Reinforcement Learning (RL) and Automatic Design Space Exploration (DSE)
(iv) Mathematical Theory and in Empirical Investigation of Machine/Statistical Learning Techniques, Models and Systems
Responsibilities and opportunities to learn:
Prefer candidates with some of the following qualifications—as related to general domains of focus mentioned above:
Key qualifications:
Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master’s, Bachelor’s, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.
Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications. Additional details on the compensation package will be provided to candidates during the interview process.
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