Research Engineer (AI)

Location: Remote or in-person at offices in San Francisco, United States

Cash compensation: $150,000–$350,000 per year, including equity incentives

Company

hirify.global is building an open superintelligence stack that combines compute, environments, evaluations, secure sandboxes, training, and deployment for frontier AI research.

What you will do

• Build and extend pretraining code in prime-rl, moving experiments into full training runs.
• Evaluate model architecture changes, including mixture-of-experts and attention designs, against model quality and training cost.
• Profile training jobs and improve end-to-end throughput through hardware-aware execution.
• Design reliable checkpointing and recovery systems for long-running training jobs.
• Investigate training dynamics and numerical stability while validating convergence.
• Run reproducible ablations and collaborate on training mixtures, midtraining, and long-context experiments.

Requirements

• Hands-on experience training language models and modifying training code.
• Strong Python skills and experience with PyTorch or a comparable framework.
• Systems knowledge sufficient to debug distributed training.
• Practical understanding of model architectures, optimization, and convergence.
• Ability to design research-driven ablations and interpret their results.
• Good judgment about independent investigation and collaboration.

Culture & Benefits

• Flexible work arrangements with remote or in-person options.
• Visa sponsorship and relocation assistance are available for international candidates.
• Quarterly team off-sites, hackathons, conferences, and learning opportunities.
• Equity incentives aligned with the company's growth and impact.
• Work on open frontier AI and infrastructure for long-horizon autonomous research.