Research Engineer Pretraining

AI infrastructure company providing an integrated stack for training, evaluating, deploying, and continuously improving agentic models.

Series ARecently funded34 current maintainers27 active leads7 new active leads9 lead step-downs
San Francisco, United States
About Prime Intellect

Prime Intellect, Inc. operates AI infrastructure spanning RL environments, hosted training and evaluations, inference, secure sandboxes, and globally sourced GPU compute.

View jobs by Prime Intellect

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