Research Engineer Pretraining
Prime IntellectVisit Prime Intellect website
AI infrastructure company providing an integrated stack for training, evaluating, deploying, and continuously improving agentic models.
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San Francisco, United States
Funding history
Projects
About Prime Intellect
Prime Intellect, Inc. operates AI infrastructure spanning RL environments, hosted training and evaluations, inference, secure sandboxes, and globally sourced GPU compute.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will extend pretraining code, move experiments into full training runs, evaluate model architectures, optimize training throughput, improve run resilience, investigate numerical stability, run reproducible ablations, and collaborate on training mixtures and long-context experiments.
Requirements
- Experience training language models
- Experience modifying training code and evaluating actual runs
- Python skills
- Experience with PyTorch or a comparable framework
- Ability to debug distributed training
- Understanding of model architectures and optimization
- Ability to design and interpret ablations
Responsibilities
- Build and extend pretraining code
- Take small experiments into full training runs
- Evaluate model architecture changes against quality and training cost
- Profile training jobs and improve end-to-end throughput
- Make long runs resilient through checkpointing and recovery
- Investigate training dynamics and numerical stability
- Run controlled and reproducible ablations
- Work on training mixtures, midtraining, and long-context experiments
Benefits
- Equity incentives
- Flexible work arrangements
- Remote-work option
- Visa sponsorship
- Relocation assistance
- Quarterly team off-sites
- Hackathons
- Conference attendance
