Research Engineer (AI)

Location: San Francisco, United States, or remote; flexible option to work remotely or in person at the San Francisco offices. Visa sponsorship and relocation assistance are available for international candidates.

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

Company

hirify.global is building an open superintelligence stack with infrastructure for compute, environments, evaluations, secure sandboxes, training, and deployment of frontier AI models.

What you will do

• Design and build challenging evaluations for coding and long-horizon agents.
• Build executable environments in Verifiers with realistic task setups and clear success criteria.
• Develop and test scoring logic and verifiers while investigating reward hacking and misleading progress measures.
• Trace model failures through outputs and harness code to distinguish model limitations from environment or scoring issues.
• Build and scale RL data pipelines that generate and curate coding and agentic tasks.
• Work with RL researchers to assess whether task and training-data changes improve performance on held-out tasks.

Requirements

• Strong software engineering skills in Python and experience building data pipelines, evaluation systems, or ML workflows used by others.
• Hands-on experience with language models or agents and an understanding of how training data and evaluation choices affect model behavior.
• Ability to inspect complex data and model outputs, identify failure modes, and turn ambiguous quality questions into testable measurements.
• Experience owning technical projects through experimentation, implementation, and validation while collaborating with researchers and engineers.
• Experience building technical evaluations or agent environments, including debugging model traces, harnesses, and scoring code.

Nice to have

• Experience with large-scale synthetic data generation, dataset curation, distributed processing, or reproducible research tooling.
• Experience with RL or post-training data, task difficulty selection, and rollout or reward distribution analysis.
• Contributions to Verifiers, Prime-RL, or comparable environment and evaluation frameworks.
• Experience with model-based grading, long-horizon coding agents, or diagnosing reward exploitation.

Culture & Benefits

• Flexible remote or in-person work arrangements.
• Visa sponsorship and relocation assistance for international candidates.
• Quarterly team off-sites, hackathons, conferences, and learning opportunities.
• Work at the intersection of frontier research, real infrastructure, and open AI development.