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Role Impact:
- Take Prime Intellect’s next open models from architecture experiments through full pretraining runs.
- Work across the model and training stack, making research decisions and fixing systems problems.
Responsibilities:
- Build and extend pretraining code, evaluate architecture changes, and profile training jobs.
- Make long runs resilient with reliable checkpointing and recovery.
- Run controlled ablations and work with data and evaluation researchers.
Requirements:
- Hands-on experience training language models and modifying training code.
- Strong Python skills and experience with PyTorch.
- Practical understanding of model architectures and optimization.
Benefits and Perks:
- Cash compensation range of $150-350k, including equity incentives.
- Flexible work arrangements, with the option to work remotely or in-person in San Francisco.
- Visa sponsorship, relocation assistance, quarterly off-sites, and learning opportunities.
Prime Intellect
Prime Intellect is building an open superintelligence stack, providing the infrastructure and platform for frontier AI training and deployment. The company has raised $150M from top investors and boasts a mission-driven team working to decentralize AI.