MLCommons is a global non-profit AI engineering consortium that develops open benchmarks, datasets, data standards, and related tooling for measuring AI performance, quality, safety, and risk.
Daily open opportunities, newly observed postings, hiring breadth, and normalized monthly compensation for jobs in this pillar.
As of 2026-09-23
Distinct employers
+3 vs prior week
7 days vs previous 7 days
Open roles, employers, and newly listed jobs by day
Earlier open counts are estimated from observation dates. Offline postings are never inferred open for more than 90 days; new daily samples are exact snapshots.
MLCommons is a global non-profit AI engineering consortium that develops open benchmarks, datasets, data standards, and related tooling for measuring AI performance, quality, safety, and risk.
Maintainer signals as of 9/23/2026
Funding history
Investors
MLCommons collaborates with industry, academia, non-profits, and other members to improve AI systems through reproducible benchmark suites, safety evaluation, open datasets, and data standards. Its work includes MLPerf benchmarks, AILuminate AI safety benchmarks, Croissant dataset metadata, and MLCube portability conventions.
MLCommons collaborates with industry, academia, non-profits, and other members to improve AI systems through reproducible benchmark suites, safety evaluation, open datasets, and data standards. Its work includes MLPerf benchmarks, AILuminate AI safety benchmarks, Croissant dataset metadata, and MLCube portability conventions.
3 open jobs
MLCommonsยท1 day ago
MLCommons is a global non-profit AI engineering consortium that develops open benchmarks, datasets, data standards, and related tooling for measuring AI performance, quality, safety, and risk.
Investors
MLCommonsยท1 day ago
MLCommons is a global non-profit AI engineering consortium that develops open benchmarks, datasets, data standards, and related tooling for measuring AI performance, quality, safety, and risk.
Investors
MLCommonsยท1 day ago
MLCommons is a global non-profit AI engineering consortium that develops open benchmarks, datasets, data standards, and related tooling for measuring AI performance, quality, safety, and risk.
Investors
