G

Goodfire

Public-benefit AI interpretability lab building models

Senior Technical Recruiter

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Five to ten years of recruiting experience, including at least three years in early-stage startup or research-intensive environments.
  • Ability to recruit across technical roles, including engineering and research, and non-technical roles, including go-to-market, product, and operations.
  • Experience serving as the sole or founding recruiting function and operating independently.
  • A quality-over-quantity approach, measuring success by quality of hires rather than speed or volume and maintaining rigorous candidate evaluation standards.

Responsibilities

  • Own end-to-end recruiting across AI/ML research scientists, research engineers, machine-learning infrastructure, security, and non-technical roles such as operations and go-to-market.
  • Build and maintain a proactive pipeline of AI talent for current and future openings.
  • Participate in San Francisco and Bay Area AI events, networking meetups, and conferences, and maintain relationships that generate warm introductions.
  • Design interview loops, ensure alignment on hiring standards, and build scalable recruiting infrastructure while performing individual-contributor recruiting work.
  • Evaluate candidates rigorously using methods such as work trials, deep reference checks, and behavioral interviews, and uphold a high hiring bar.

Desired Qualifications

  • At least two years of recruiting specifically for AI/ML, research engineering, or machine-learning infrastructure roles.
  • Experience recruiting for frontier AI labs, large language model startups, or research-heavy engineering organizations.
  • A degree in a science, technology, engineering, or mathematics field (Bachelor's, Master's, or PhD), or equivalent technical background or fluency.
  • An existing network in the San Francisco or Bay Area AI ecosystem.

About the Company

Goodfire

Public-benefit AI interpretability lab building models

Goodfire is a public-benefit AI interpretability lab in San Francisco that provides a model-design environment to understand, edit, debug, and monitor foundation models rather than treating them as black boxes. Its platform lets teams inspect model decisions, apply interpretability-informed training to reduce errors, and test and monitor changes across deployments. It differentiates itself through its public-benefit mission, collaborations with Arc Institute, Mayo Clinic, and Microsoft, and leadership with researchers, having halved LLM hallucinations and reverse-engineered a biological model to identify Alzheimer's biomarkers. Its goal is to make foundation models safer, more understandable, and easier to manage at scale by promoting transparency and accountability in AI development and deployment.

Company size
51-200
Company stage
Series B
Total funding
$207M
Headquarters
San Francisco, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Goodfire

See more jobs