Research Scientist, Benchmarks & Evaluations for Frontier AI

Kled AI

California City (CA)

On-site

USD 150,000 - 250,000

Full time

3 days ago
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Job summary

Kled AI is seeking a Research Scientist for Benchmarks & Eval to shape how frontier AI models are evaluated using real opt-in data.

You will design public benchmarks, create private test sets, run full end-to-end experiments from GPUs to reports, and publish trusted leaderboards that help researchers and buyers understand data value. Collaboration with founders and lab buyers accelerates data-driven deals.

Qualifications

  • 3+ years ML research or research engineering experience.
  • A benchmark or evaluation you built that others actually used.
  • Strong hands-on experience training and fine-tuning image or video models (PyTorch).
  • Deep understanding of experimental design and statistics (controls, ablations, human studies).
  • Experience running experiments end to end, from GPUs to final report.
  • Clear writing for both researchers and buyers.

Responsibilities

  • Design and ship public benchmarks for image, video and document models.
  • Build private test sets from real, opt-in data that no model has trained on.
  • Run data-value experiments: train models with and without Kled data, measure changes.
  • Design human evaluation studies and the automatic metrics that track them.
  • Publish leaderboards and reports that researchers at frontier labs trust.
  • Find where models fall short and tell our team what data to collect next.
  • Work directly with the founders and lab buyers to turn results into data deals.

Skills

ML research
Benchmark design
PyTorch training
Experimental design
End-to-end experiments
Technical writing

Tools

PyTorch

Job description

Kled AI is seeking a Research Scientist for Benchmarks & Eval to shape how frontier AI models are evaluated using real opt-in data.

You will design public benchmarks, create private test sets, run full end-to-end experiments from GPUs to reports, and publish trusted leaderboards that help researchers and buyers understand data value. Collaboration with founders and lab buyers accelerates data-driven deals.

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