Internship Opportunity: Causal Machine Learning
2 weeks ago
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers. Our researchers and engineers pursue innovation in various scientific and technical disciplines to help solve complex challenges in diverse fields.
**“**
**Interns are expected to be physically located in**
**UK**
**for the duration of their internship.**
**”**
**Responsibilities**:
- Design, implementation, and experimental validation of causal machine learning models and algorithms.
- Collaboration with other researchers and engineers as part of a project team.
- Clearly communicating research ideas and results in writing, such as research papers, presentations, or research notes for internal and external audiences.
**Qualifications**:
- Must be accepted or currently enrolled in a PhD program in CS, EE or a related STEM field.
- Understanding and demonstrated research track record of causal machine learning and related fields such as structure discovery, probabilistic deep learning, through active research in a related PhD program or publications in academic conferences (NeurIPS, ICML, ICLR), journals, or workshops..
- Demonstrated ability to write code, programming abilities in Python, comfortable with using Git and GitHub processes such as code reviews, and software testing principles.
- Experience in building machine learning systems with PyTorch.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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