Machine Learning Systems Fellow
Job Summary
Seeking motivated individuals, the full-time Machine Learning Systems Fellow will engage in empirical AI research projects, utilizing external infrastructure to produce public outputs, while benefiting from mentorship and collaboration in a remote-friendly environment.
Key responsibilities
- Conduct full-time research over a 4-month period on projects aligned with AI safety and performance
- Collaborate with mentors and peers to develop and implement complex machine learning systems
- Produce a public output, such as a research paper, based on empirical findings from the projects
Required qualifications
- Bachelor's degree or equivalent experience in computer science, mathematics, or physics
- Fluency in Python programming
- Experience building complex machine learning systems
- Ability to work full-time during the program duration
- Comfort with large-scale distributed systems and high-performance computing
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