AI Mutation Testing Efficiency Optimizer

About the role

Responsibilities

• Build ML-based equivalent mutation detection identifying mutations that are semantically undetectable by any test
• Implement test-mutation relevance scoring ordering test execution to minimize test runs per killed mutation
• Develop code risk scoring concentrating mutation budget on high-change-frequency and fault-prone code regions
• Create mutation testing execution scheduler managing parallelism and compute cost against quality targets
• Build mutation score trend tracking monitoring whether engineering teams are improving test suite quality
• Optimize mutation testing latency to under 2 hours for codebases generating 50,000+ mutations

Requirements

• 3+ years in test engineering, CI infrastructure, or developer tooling with mutation testing or test optimization experience
• Strong Python and Docker skills with test execution infrastructure development
• Understanding of mutation testing theory, equivalence detection, and test prioritization research
• Experience building ML classification systems for code quality prediction
• Ability to design optimization systems that make expensive operations tractable without sacrificing validity

Benefits

• Fully remote with flexible schedule
• Health and dental insurance
• $2,500 annual professional development budget
• 401(k) with match
• Equity options

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