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Enclosure.inc

Research lab securing artificial superintelligence containment

Member of Technical Staff - AI Researcher, Reinforcement Learning

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Experience with large-scale reinforcement learning or post-training for language models, especially reinforcement learning with verifiable rewards, policy optimization, or outcome-based reinforcement learning.
  • Experience designing verifiable tasks, environments, graders, reward functions, or curricula for agentic, coding, cybersecurity, or other long-horizon tasks.
  • Experience training and evaluating tool-using, coding, or multi-agent systems, including agent harness design.
  • Strong experimental judgment, including evaluating transfer, diagnosing reward hacking or specification gaming, and iterating from noisy results.
  • Strong machine learning and software engineering fundamentals, with the ability to work across training, data, evaluations, infrastructure, and product.

Responsibilities

  • Own a significant part of the reinforcement learning research as an individual contributor.

Desired Qualifications

  • Demonstrate strong engineering judgment in the systems built.
  • Show excitement for hard problems and figuring them out.
  • Be highly adaptive and comfortable with rapid changes at the frontier.
  • Provide evidence of self-directed technical work, such as open-source contributions, technical writing, tools, packages, or public projects demonstrating strong systems thinking.
  • Communicate with clarity and directness.
  • Bring a humble, low-ego attitude and care deeply about helping the team succeed.

About the Company

Enclosure.inc

Research lab securing artificial superintelligence containment

Enclosure Inc. focuses on security and containment of artificial superintelligence (ASI). It secures AI model weights and builds nation-state–level security for AI data centers, using bidirectional containment to protect models from external attacks and to prevent rogue AI from escaping. The company differentiates itself by its explicit bidirectional containment approach and ties to major AI players and national-security communities. Its goal is to reduce the risk posed by highly capable AI by preventing misuse, leakage, or uncontrolled growth.

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