Note: The job is a remote job and is open to candidates in USA. NVIDIA is widely recognized as one of the most sought-after employers, with a focus on AI leadership and cybersecurity. They are seeking an Evaluation/ML-Systems Engineer to measure program performance, design metrics, and ensure the integrity of AI-powered tooling.
Responsibilities
- Build the benchmarking and reproducibility systems we depend on
- Define the metrics and protocols we measure against
- Map every result to the code and runs that produced it
- Keep findings reviewable and conclusions traceable
Skills
- Bachelor's degree (or equivalent experience) with 5+ years in ML engineering or evaluation
- Designing benchmarks, metrics, and statistically sound comparisons for ML systems
- A careful, skeptical approach to metrics, baselines, and claims
- Solid Python engineering for shared infrastructure, including experiment tracking and data pipelines
- Exposure to evaluating security tooling or pipelines
- Experience measuring agent or LLM behavior
- Contributions to public benchmarks or evaluation frameworks
Company Overview
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