Agent Post-Training Research (AI)

TL;DR

Agent Post-Training Research (AI): Developing and optimizing frontier agentic models for Codex, ChatGPT, and the API with an accent on RL, RLHF, and multi-agent coordination. Focus on building training signals, creating robust evaluations, and integrating advanced capabilities into production models.

Location: San Francisco

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 across coding, tool use, function calling, and multi-agent collaboration.
• Own end-to-end improvements to the post-training stack, including RL, data pipelines, reward signals, and model-behavior analysis.
• Build evals and environments to identify model failures and translate them into training data or new research directions.
• Partner with product teams to translate user needs into model improvements for Codex, API, and ChatGPT.
• Develop alignment interventions, synthetic data mixtures, and eval loops that shape downstream agent behavior.
• Optimize large-scale training machinery for increased velocity, reliability, observability, 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, evals, or production ML systems.
• Ability to move from vague behavioral problems to concrete hypotheses and experiments.
• Comfort working across research, product, infrastructure, data, and safety boundaries.
• Must be based in San Francisco

Culture & Benefits

• High-agency role where work lands directly in frontier models used by millions.
• Collaborative environment working with world-class researchers and engineers.
• Mission-driven culture focused on the safe deployment of AGI.
• Commitment to equal opportunity and diversity in the workplace.