Research Fellow - Mechanistic Interpretability
Vmax AI Corp · AI/ML/Data
- Location
- San Francisco, CA
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Internship
- Posted
- 5 months ago
- Source
- Simplify internships list
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What the posting covers
About the role
Vmax is an applied research lab developing AI capable of open-ended learning. We are building systems to exceed humans in all capacities by optimizing beyond the local maxima of learning from human expertise. About the role: LLMs are fantastically powerful…
Responsibilities
Develop mechanistic interpretability methods for understanding internal representations, features, circuits, and computations in language models and agents. Investigate how model internals can be used to generate intrinsic rewards, auxiliary objectives,…
Role Requirements
Currently enrolled in a PhD program in machine learning, computer science, artificial intelligence, computational neuroscience, mathematics, or a related technical field. Exceptional candidates with equivalent research experience may also be considered. Track…
Nice to have
Experience with LLM post-training methods Familiarity with intrinsic motivation, unsupervised RL, auxiliary objectives, representation learning for RL, or curiosity-driven learning. Experience with scalable ML experimentation, distributed training, experiment…
Excerpts only. The employer’s page has the complete posting.