Member of Technical Staff (Research)

Location: San Francisco, United States; on-site

Company

hirify.global is a research and product lab creating a platform for continual learning that enables companies to continuously post-train large-scale agentic models from product-use signals.

What you will do

• Design and build the post-training stack for continual learning from real production workflows.
• Shape product telemetry into learnable signals for model improvement.
• Train and serve custom large language models and agents.
• Design novel algorithms and own end-to-end experiments across data, training, and evaluation.
• Make foundational technical and product decisions with founders and design partners.
• Help define the architecture of the continually learning intelligence platform.

Requirements

• Experience training or serving large language models.
• Experience building RL environments or evaluation suites for LLMs.
• Proficiency in PyTorch, JAX, or similar machine learning frameworks.
• Strong experimental design skills.
• Master’s degree or research experience.
• Ability to work on-site in San Francisco.

Nice to have

• Background in pre-training or post-training reinforcement learning for LLMs.
• Experience with high-performance computing or large-scale clusters.
• Contributions to open-source machine learning research or infrastructure.
• Technical creativity demonstrated through research, open-source work, or side projects.
• PhD or final-year PhD work focused on AI or reinforcement learning open-source projects.

Culture & Benefits

• Work directly with founders and design partners.
• Collaborate with researchers from DeepMind, OpenAI, Meta, Apple, Amazon, and Scale.
• Contribute to the technical culture and architecture of a research-driven company.
• Build infrastructure for leading AI companies, including Decagon, Clay, Harvey, Mercor, and Rogo.