# Recruiter, AI/ML Research

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Recruiting
**Salary:** $216k – $240k/yr
**Skills:** AI/ML, Machine Learning, Recruiting, Talent Sourcing, Technical Recruiting, Distributed Systems, Scientific Computing, Quantitative Research
**Posted:** 2026-02-23

> Strategic recruiter partnering with research teams to source and hire top AI/ML researchers and engineers. Requires deep technical recruiting experience in specialized fields like ML/AI and high-stakes negotiations.

## Job Description

## In this role, you will:
- Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
- Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
- Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
- Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit.
- Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.

## You might thrive in this role if you:
- Significant experience recruiting within highly technical or specialized environments.
- Deep interest in AI research and a desire to engage directly with global research communities.
- Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
- Track record of leading complex, ambiguous technical searches from early talent mapping through close.
- Experience navigating high-stakes negotiations with senior technical or research candidates.
- Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.

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