
Evaluation and ML Systems Engineer, AI Safety and Security Engineering
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in California, +4 more states.
β’ Develop the benchmarking and reproducibility frameworks that are essential to our operations.
β’ Establish the metrics and protocols we utilize for evaluation.
β’ Associate every outcome with the code and executions that generated it.
β’ Ensure that findings are reviewable and that conclusions are traceable.
β’ A Bachelor's degree (or equivalent experience) accompanied by over 5 years in ML engineering or evaluation.
β’ Experience in designing benchmarks, metrics, and statistically robust comparisons for ML systems.
β’ A meticulous and critical mindset towards metrics, baselines, and assertions.
β’ Proficient in Python engineering for collaborative infrastructure, including experiment tracking and data pipelines.
β’ Competitive salaries
β’ Generous benefits package
β’ Equity
NVIDIA
SentiLink
SentiLink
Leega
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