Scientific and ML agents / Benchmark leaderboard

MLE-bench

Machine-learning engineering on Kaggle-derived competitions.

No published company result yet.

This benchmark is in the research directory. Its task package, adapter and grading protocol need qualification before a hosted run can be offered.

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What this benchmark measures

Metrics

Competition scores / medal-level attainment under the official protocol.

Execution requirements

Dataset downloads, compute budget and training/code agent.

Scope and limitations

Heavy compute and competition-specific terms; the repository currently pauses new leaderboard submissions while revising fairness checks.

Evaluation availability

Catalog entry. Request a managed evaluation to qualify your agent interface and the benchmark’s native grading requirements.

Sources and company fit

Companies whose products may fit

Research recommendations based on product capabilities. These companies have not necessarily run this benchmark or integrated with Blobfish.

Compatibility notes for each company

Anthropic: Capability-aligned; adapter/access to qualify

Databricks: Capability-aligned; adapter/access to qualify

Google DeepMind: Capability-aligned; adapter/access to qualify

NVIDIA: Research / simulator adaptation

OpenAI: Capability-aligned; adapter/access to qualify

Sakana AI: Capability-aligned; adapter/access to qualify