Agent Post-Training Research Engineer (AI)

TL;DR

Agent Post-Training Research Engineer (AI): Training frontier models to operate computers, navigate browsers, and use tools with an accent on RL, post-training stacks, and agentic behavior. Focus on building data pipelines, reward signals, and evaluation environments to improve reliability and judgment in long-horizon tasks.

Location: San Francisco, USA

Salary: $295K – $445K

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Design and run experiments to improve agentic model behavior for complex computer and browser use.
• Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, and reward signals.
• Build evals and environments to identify model failures and convert them into training data or research directions.
• Collaborate with product teams to translate user signal from Codex and ChatGPT into model improvements.
• Implement early-training and alignment interventions, including data mixtures and synthetic data loops.
• Optimize large-scale training machinery for experiment velocity, reliability, and production readiness.

Requirements

• Strong technical fundamentals in machine learning, software engineering, systems, or statistics.
• Hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, or production ML systems.
• Experience building evals, graders, synthetic data, or coding/tool-using agents.
• Ability to move from vague behavioral problems to concrete hypotheses and experimental pipelines.
• Comfort working across research, product, infrastructure, and safety boundaries.
• Must be based in San Francisco

Culture & Benefits

• High-agency role where work lands directly in frontier models used by millions.
• Environment focused on solving open-ended problems requiring both research taste and engineering execution.
• Culture centered around AI safety, human needs, and diverse perspectives.
• Commitment to equal opportunity and inclusive hiring practices.