AI Benchmark Engineer: Reproducible Evaluation System

AI Benchmark Engineer: Reproducible Evaluation System

Full-Time On-site
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Callosum, based in London, is building the benchmarking system for evaluating agentic and algorithmic AI across tasks. You will design and implement a unified evaluation pipeline and ensure reproducible results that inform product decisions.

This role requires a PhD or strong research track record, excellent Python, and hands-on experience with sandboxed and distributed execution. London-based, in-person work with visa sponsorship possible.

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AI Benchmark Engineer: Reproducible Evaluation System employer: Callosum

At Callosum, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. Located in the vibrant tech hub of London, we offer competitive benefits, continuous learning opportunities, and the chance to work with cutting-edge technologies in the field of intelligent systems. Join us to be part of a team that values creativity and growth, making a meaningful impact in the world of scalable agent runtimes.

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Contact Details:

Callosum Recruitment Team