Research Scientist/Research Engineer

Transluce is an independent San Francisco 501(c)(3) nonprofit research lab building open technology and research infrastructure for scalable oversight and understanding of AI systems.

San Francisco, United States
About Transluce

Transluce develops research, platforms, and open-source tools intended to help evaluators and other stakeholders understand, measure, and steer advanced AI behavior in the public interest. Its active product, Docent, analyzes AI-agent transcripts using traceable behavior rubrics, qualitative review, and quantitative analysis.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will advance LLM-based AI technology across reinforcement learning, interpretability, and AI agents. You will drive a core research thread, prototype initial ideas, explore system architectures and hyperparameters, and design efficient, reliable training and inference pipelines. For senior-level work, you may set code architecture direction and lead projects.

Requirements

  • Demonstrate meticulous experimental design, epistemic self-awareness, and transparency
  • Balance scrappy prioritization with meticulousness
  • Connect low-level planning to high-level goals
  • Generate original ideas that unblock progress
  • Bring deep domain knowledge in machine-learning research such as interpretability, reinforcement learning, systems performance, or GPUs
  • Demonstrate strong programming ability and manage trade-offs between prototyping speed and maintainability
  • Demonstrate strong communication skills and openness to feedback
  • Maintain a high bar for final results
  • Learn quickly from teammates and mentors

Responsibilities

  • Drive results on a core research thread
  • Identify and execute tactical paths within the broader team strategy
  • Prototype initial ideas to find signs of life
  • Explore system architecture and hyperparameter design spaces
  • Design and implement efficient, reliable training and inference pipelines
  • Set code architecture direction, plan, and lead projects for senior-level work

Benefits

  • International visa sponsorship