Member of Technical Staff (MTS) in Research (AI)

Location: San Francisco, United States; on-site

Salary: $200,000–$400,000 USD per year, plus equity and benefits.

Company

hirify.global builds AI infrastructure for simulating human behavior at scale and helping organizations make high-stakes decisions with behavioral models.

What you will do

• Train, evaluate, deploy, and monitor models of human behavior across the full research-to-product pipeline.
• Work with proprietary datasets including long-form interviews, large-scale polls, and passively collected behavioral data.
• Run high-stakes experiments on the latest NVIDIA GPUs using modern language-model training and fine-tuning methods.
• Design rigorous evaluations that measure the fidelity of behavioral simulations beyond standard benchmarks.
• Reproduce, critique, and improve academic research while documenting findings to an academic standard.
• Move research hypotheses into production-ready models grounded in statistical evidence.

Requirements

• High proficiency in Python, modern machine-learning frameworks, and AI coding tools.
• Hands-on experience running GPU experiments and understanding the training and fine-tuning lifecycle for large-scale models.
• Ability to reproduce complex machine-learning papers and clearly document new research findings.
• Academic background in Computer Science, Mathematics, Statistics, Deep Learning, Computational Social Science, or a related field.
• Experience with social-science modeling or behavioral economics.
• Familiarity with distributed training and inference optimization for multi-agent environments.

Culture & Benefits

• Competitive base salary, equity, and comprehensive benefits.
• Medical, dental, and vision coverage.
• Flexible time-off policies supporting work-life balance.
• Thoughtful conversations and clear examples of past work are emphasized during hiring.
• Equal-opportunity workplace with reasonable accommodations available during the application process.

Hiring process

• The process focuses on alignment around fit, working style, and expectations through conversations and examples of past work.
• Applicants may reapply for the same role after a 90-day waiting period.