Visiting Student Efficient and Distributed Machine Learning
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Job Description
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is the worlds first AI-focused university. Founded in 2019 MBZUAI is a research-oriented graduate-level university that has grown to host over 80 world-class faculty over 330 graduate-level students and is already ranked in the worlds top 25 by CSRankings for AI-related fields. Located in Abu Dhabi the university aims to become a global leader in AI education and research by providing cutting-edge programs in Artificial Intelligence empowering students to shape the future of technology. MBZUAI is committed to fostering innovation collaboration and ethical practices in AI to address global challenges.
About the role:
We are seeking motivated visiting students to join our team in the areas of efficient training and distributed machine learning. The role requires working with faculty postdoctoral researchers and graduate students on ongoing projects with both theoretical depth and practical applications.
This is an opportunity to:
- Contribute to cutting-edge research in topics such as optimization quantization pruning federated learning and communication-efficient training.
- Gain exposure to theoretical and empirical research workflows in machine learning.
- Work on publications or open-source tools depending on background and interest.
This role is ideal for students considering future graduate study or a research career in ML/AI.
Key Responsibilities:
- Assist in designing and evaluating algorithms for efficient and distributed ML training.
- Conduct experiments using standard benchmarks and real-world datasets.
- Participate in reading groups code reviews and collaborative research discussions.
- Contribute to publications or codebases under the supervision of faculty or senior researchers.
Minimum:
Currently enrolled in a Bachelors Masters or Ph.D. program in Computer Science Engineering Applied Mathematics or a related field.
- Strong programming skills in Python and familiarity with ML libraries (e.g. PyTorch JAX).
- Solid understanding of machine learning fundamentals especially in one or more of: optimization generalization federated learning or model compression.
- Ability to work independently and collaboratively in a research environment.
Preferred:
- Prior research or internship experience in ML or optimization.
- Experience contributing to open-source projects or academic research.
- Familiarity with distributed computing or large-scale training environments.
What we offer:
- Opportunity to work at a top-tier AI research institution with leading researchers.
- Mentorship and collaboration on high-impact publishable projects.
- Access to cutting-edge compute resources and research tools.
- Return-trip flight
- Accommodation (or housing allowance)
- Health insurance and visa sponsorship
- A stipend of AED 8000 10000 per month based on the applicants education
Employment Type
Student
