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Enclosure

Member of Technical Staff - AI Researcher, Reinforcement Learning

San FranciscoOnsite · United States
Staff · FullTime · / Research & Engineering
POSTED 2 OCTVERIFIED 1D AGO
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Role
39 days opentrue age
Posted 2 Oct
Pay
$205k–$284kno pay posted
Market p25–p75
$205k–$284k
SF Bay Area · n=969 · 365d to 6 Nov
CompanyEnclosure →
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About Enclosure

Enclosure is the world’s first superintelligence security lab focused on preventing the sabotage, escape, and theft of ASI. We are building ASI-grade security for model weights, and nation-state-grade security for data centers.

We’re backed by leaders across OpenAI, Anthropic, Google DeepMind, SpaceXAI, CoreWeave, NVIDIA, other frontier AI labs, and the national security community (including former NSA and intelligence community leadership). We are frontier AI, cybersecurity, quantum security, and national security researchers.

About the Role

Enclosure is hiring an exceptional RL researcher. You'll own a significant part of our RL research as an IC. We care less about degrees and more about a track record of exploration, curiosity, and grit.

Requirements

This role requires deep experience in multiple of the following areas:

Experience with large-scale RL or post-training for language models, especially RLVR, policy optimization, or outcome-based reinforcement learning

Experience designing verifiable tasks, environments, graders, reward functions, or curricula for agentic, coding, cyber, 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 ML and software engineering fundamentals, with the ability to work across training, data, evals, infrastructure, and product

What Sets You Apart

We're especially excited if you:

Demonstrate strong engineering judgment in the systems you've built

Get excited by hard problems and the challenge of figuring them out

Are highly adaptive and comfortable with how quickly the frontier shifts

Have evidence of self-directed technical work, such as open-source contributions, technical writing, tools, packages, or public projects with strong systems thinking

Communicate with clarity and directness

Bring a humble, low-ego attitude and care deeply about helping the team win

Why Join

Enclosure is securing the path to superintelligence.

What we offer:

Competitive compensation package

Ownership over research direction

Close collaboration with frontier AI security and infrastructure teams

Source · EnclosureFirst seen 4 NovOriginal ↗