Intern, ML Algorithms

Job description

Description: We are seeking 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) and 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) (iv) Automatic Design Space Exploration (DSE) (v) Theoretical and/or Empirical Investigation of Statistical Learning Techniques Responsibilities and opportunities to learn: Publish results in top machine learning conferences and/or journals. Prefer candidates with some of the following qualifications—as related to general domains of focus mentioned above: - Work with the machine learning (ML) team within our IC-Lab to investigate, explore, develop and publish research results in machine and statistical learning in one of our focused or neighboring areas - Investigate and explore cutting edge problems in domains such as long sequence processing and NLP, automatic design space exploration, reinforcement learning, computer vi...