Interpretability Researcher

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Core AI Research

Interpretability Researcher

Interpretability Researchers develop methods to understand and explain AI decisions.

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Overview

Interpretability Researchers develop methods to understand and explain AI decisions.

Responsibilities

• Plan and run experiments: Design studies to identify how models process information and make predictions.
• Develop tools: Create and maintain open-source interpretability libraries and visualizations.
• Review literature: Stay up-to-date on academic research and synthesize findings into internal reports.
• Perform mathematical research: Investigate inductive biases and underlying principles of neural networks.
• Communicate findings: Write papers, present results, and coordinate with volunteers or collaborators.
  
  

Qualifications

• Doctoral degree in machine learning, applied mathematics, or a related field.
• Experience in interpretability research and familiarity with tools such as Integrated Gradients, SHAP, or attention visualizations.
  
  

Equal opportunity

TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.

Engagement pathways and compensation status

TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.

• Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway.
• Educational internship interest requires separate supervision, educational purpose, and legal review.
• Advisory expressions of interest are not board or formal advisory appointments.
• Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.
  
  

Accessibility and accommodations

For an accommodation or alternate submission format, contact [email protected]. The application form does not request medical documentation or sensitive identity documents.

Posting information

Department Core AI Research

Public role ID TAIRC-ROLE-010

Status Open

Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.

Recruitment privacy

Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.