Principal AI Research Scientist Post-Training (AI)

Location: Remote (US, Canada, EU) or onsite in San Francisco, London, or Toronto

Company

hirify.global provides software tools for architecture, engineering, construction, manufacturing, and media industries, leveraging high-fidelity physics simulation and CAD kernels for AI research.

What you will do

• Lead post-training model development including RLHF, preference optimization, and agentic systems.
• Develop novel algorithms to enhance model reliability, controllability, and alignment.
• Design and execute experiments to shape model behavior and reasoning quality.
• Build scalable and reproducible post-training workflows in collaboration with infrastructure teams.
• Create evaluation frameworks for long-horizon reasoning, tool use, and real-world workflow completion.
• Contribute to high-impact publications, patents, and external research visibility.

Requirements

• PhD or equivalent industry research experience in ML, RL, AI, or related fields.
• Deep expertise in reinforcement learning for foundation models (RLHF, RLAIF, DPO, PPO).
• Proven track record of leading or mentoring technical research teams.
• Strong publication record at leading ML/AI venues (e.g., NeurIPS, ICML, ICLR).
• Experience at a frontier model lab or advanced applied AI organization.
• Must be based in the US, Canada, or EU for remote work.

Culture & Benefits

• Opportunity to work at the intersection of AI research and real-world professional workflows.
• Direct pipeline from research advances to large-scale product impact.
• Collaborative environment with leading academic and industry labs.
• Inclusive culture focused on diversity and equal opportunity.