Research Engineer - Oversight Foundations

Salary range: $250,000 - $500,000/year + benefits Description: Transluce is a non-profit research lab building tools for scalable, end-to-end oversight of AI systems. We build world-class, AI-backed analysis tools and use these to set industry standards for evaluation. Our tools are integrated with core agent benchmarks like SWE-bench, while our evaluations are directly underpinning regulation, including our role as EU AI Office’s main evaluation developer for harmful manipulation risks. About the role: We are looking for strong scientists and engineers to help advance our vision of scalable end-to-end oversight assistants , building on our recent advances such as predictive concept decoders and user model extractors . As part of our highly collaborative team, you will learn and grow quickly, creating technology at the frontier of AI research and with high direct impact. Core responsibility: Help us develop and train scalable interpretability assistants that can predict and detect unexpected and subtle behaviors from models’ activations. This includes: Creating diverse evaluations that range in difficulty. This involves finding naturally occurring interesting and undesirable behaviors exhibited by open-source models. Developing novel architectures and objectives for training interpretability assistants. Scaling up the training and inference pipelines to support up to 1T-scale models. Qualities of a strong candidate: Experience with fine-tuning language models, designing new architectures, and creating evaluations. Reliable results: good experimental design, epistemic self-awareness and transparency Generativeness: coming up with original, productive ideas for unblocking progress Curiosity: a desire to understand ML systems and how they work Strong programming ability, including navigating trade-offs between prototyping speed and maintainability Strong communication skills, low ego, openness to giving and receiving feedback We are located in San Francisco and enthusiastic to work together in-person. We are open to sponsoring international visas.