Meta
From Meta's careers page
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We are seeking an embedded systems engineer to convert deep domain expertise into high-quality training signals for Meta's frontier coding models.
The Device & Embedded group within Applied AI focuses on enhancing artificial intelligence models that support low-level system development, including bootloaders, operating systems, kernels, drivers, and intermediate system services. We are seeking an embedded systems engineer to convert deep domain expertise into high-quality training signals for Meta's frontier coding models. In this role, you will analyze complex low-level engineering challenges from this domain, construct rigorous evaluations and trajectory data for model training, and identify areas requiring model improvement. While the position involves direct, hands-on engineering, the primary deliverable is an optimized model rather than a standard product feature. This fast-paced role is ideal for engineers who wish to leverage their systems-level expertise to transform software engineering methodologies.
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