Research Scientist (AI)

Location: New York or San Francisco

Salary: $150K–$350K per year, plus equity

Company

hirify.global is building an AI infrastructure platform covering the full lifecycle of large language models, from training and deployment to production observability.

What you will do

• Improve existing methods and develop new techniques for large-scale model training, optimization, and inference.
• Advance post-training research for foundation, large language, and multihirify.global models.
• Extend models to long-context and long-horizon tasks.
• Improve inference-time efficiency, reliability, and robustness for high-stakes real-world deployments.
• Translate research advances into meaningful product impact while collaborating across research and engineering teams.

Requirements

• PhD in computer science, machine learning, or a related field; a master's degree with significant research or industry experience may also be considered.
• Demonstrated research accomplishments in reinforcement learning, machine learning, foundation models, or related fields.
• Experience with large-scale training and inference infrastructure, distributed systems, and multi-node GPU clusters.
• Experience developing, training, optimizing, or deploying state-of-the-art large-scale models.
• First-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR.
• Ability to collaborate effectively across research and engineering teams.

Nice to have

• Research depth in post-training for large language or multihirify.global models.
• Experience improving inference-time efficiency, reliability, or robustness.

Culture & Benefits

• Full-time engineering role with equity compensation.
• Work alongside researchers, open-source creators, and experienced engineering and product leaders.
• Opportunity to work on infrastructure supporting training, deployment, and observability for large language models.