- Research Triangle Park, North Carolina, United States
- Full-time · Senior
- $139K–$282K per year
- 1+ years
Connect AI safety research with production engineering, operationalizing transparency by translating concepts from mechanistic interpretability into scalable pipelines to ensure deployed AI systems remain reliable, honest, and aligned.
Compensation
The starting salary range posted for this position is $139,300.00 to $203,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
- Operationalize transparency by translating concepts from mechanistic interpretability and eliciting knowledge into scalable pipelines.
- Build infrastructure to extract, map, and interpret model activations and latent representations.
- Design red-teaming frameworks and automated behavioral auditing stress tests to identify misalignment, sycophancy, deceptive behavior, and coordination risks.
- Partner with ML engineering to integrate transparency probes while managing inference latency, memory use, reliability, and operational cost.
- Track relevant AI safety research to rapidly prototype, evaluate, and deploy promising transparency methods.
Requirements
- Bachelors
- Masters
- PhD
- Nice to have: Distributed Training
- Nice to have: High-throughput Inference