Applied AI Researcher, System Self-Improvement

Remote Remote · San Francisco

reactrails researchfulltime

ashby

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Job description

You will research and develop self-improving AI systems in a hybrid role based in San Francisco. This position offers a competitive salary and equity opportunities.

Details

San Francisco, hybrid model with 3+ days in-office
$150K – $250K salary, eligible for equity
Experience in building feedback-driven systems and strong programming skills required

The work

Build architectures that evaluate and enhance their own performance
Design feedback-driven systems for self-improvement
Study self-modeling in systems to enable autonomous evolution
Bridge reinforcement learning and meta-optimization techniques