Post-Training Research Scientist (AI)

TL;DR

Post-Training Research Scientist (AI): Pursuing open problems at the intersection of post-training methodology and performant inference, then translating findings into production systems in collaboration with research engineering. Focus on problem selection, designing experiments and pushing the state of the art.

Location: San Francisco

Salary: $210K – $285K

Company

hirify.global powers mission-critical inference for the world's most dynamic AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling.

What you will do

• Define and pursue a research agenda spanning both pure and applied work, connected to hirify.global's platform and customer needs.
• Design and execute rigorous experiments, frequently at meaningful scale (multi-node, 1T+ parameter models).
• Publish at top venues (NeurIPS, ICML, ICLR) and establish hirify.global's research presence.
• Collaborate with model performance and training infrastructure teams to bridge research findings and production systems.
• Mentor junior researchers and shape the technical direction of the research organization as it grows.

Requirements

• PhD or equivalent research depth in machine learning, with first-author publications at top venues.
• Demonstrated ability to move from theory through implementation to empirical results.
• Judgment about problem selection and the ability to distinguish research that advances a metric from research that changes how systems are built.
• Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years.

Nice to have

• Experience with production ML systems and an understanding of the constraints that cause academic solutions to fail in deployment.
• Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology).
• Track record of open-source contributions or community building in ML research.

Culture & Benefits

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents.
• Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!).
• Paid parental leave.
• Company-facilitated 401(k).
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.