Remote QA Engineer (AI / ML Focus)

Special Projects Engineering LLC -bout Special Projects Engineering LLCSpecial Projects Engineering is a small, elite team based in Seattle tackling complex, high-impact problems using advanced AI and automation. We work across domains like autonomous systems, predictive infrastructure, synthetic biology, and next-gen defense tech. When something hasn’t been done before, we don’t shy away — we build it. What You’ll DoAs a QA Engineer focused on ML / AI systems, your mission is to ensure the reliability, accuracy, and stability of intelligent systems that operate in messy, real-world environments.You’ll design robust testing frameworks and evaluation pipelines to validate everything from perception models to full-stack ML deployments. Responsibilities :Develop and maintain automated test suites for machine learning pipelines and AI-enabled systemsCreate testing strategies for models handling visual, audio, sensor, and textual dataValidate data inputs, model outputs, performance benchmarks, and edge-case behaviorBuild tools for continuous integration and regression testing across ML componentsWork with ML engineers to define evaluation metrics and acceptable thresholdsHelp ensure models are safe, stable, and robust before deploymentIdentify gaps in test coverage and build test plans that scale with the codebaseWhat We’re Looking For3+ years in software QA, test automation, or related roleHands-on experience testing ML models or AI systems in production environmentsStrong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAXFamiliarity with ML lifecycle and model validation techniquesExperience with bolthires / CD pipelines, test frameworks, and debugging toolsDetail-oriented mindset with strong instincts for edge cases and failure modesBonus : background in data validation, simulation environments, or roboticsWhy Join UsRemote first companyCompetitive salary and equityFlexible hours and remote-friendly cultureFull health, dental, and vision insuranceHigh-end GPU hardware and compute resourcesWork on real-world AI systems with a high-caliber teamFast-moving environment where your work directly impacts productionIf you care about building AI that actually works, works well, and works safely — we’d love to talk.Apply tot his job