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11 дней назад

Research Engineer, Interpretability Systems (AI)

350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Research Engineer, Interpretability Systems (AI): Building experimental infrastructure, RL-style environments, and tooling for mechanistic interpretability and alignment research in large language models with an accent on activation tracing, latent concept detection, and activation-level steering. Focus on implementing probes for hidden objectives, defining robustness benchmarks, and rapidly converting research ideas into experiments.

Location: San Francisco Bay Area, on-site

Salary: $350,000 per year

Company

Early-stage AI research lab founded by former frontier-model researchers, focused on alignment and interpretability for large language models.

What you will do

  • Build custom RL-style environments and experimental testbeds for interpretability research.
  • Develop tooling for activation tracing, concept detection, mechanistic analysis, and internal representation probing.
  • Implement probes for latent concepts such as deception, uncertainty, goals, and hidden objectives.
  • Prototype activation-level steering methods beyond prompting and fine-tuning.
  • Collaborate with researchers to iterate from research ideas through implementation, experiments, and results.
  • Define benchmarks and measurement frameworks for model consistency, robustness, alignment, and interpretability.

Requirements

  • Strong software engineering fundamentals and experience building experimental ML systems.
  • Experience working with model internals, representations, or post-training systems.
  • Strong Python and deep learning framework experience, preferably PyTorch.
  • Ability to rapidly prototype and iterate in open-ended research environments.
  • Experience in interpretability, alignment, or ML research is preferred.
  • A PhD is ideal.

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