Remote QA Engineer (AI / ML Focus)

Special Projects Engineering LLC - bout Special Projects Engineering LLC Special 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 Do As 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 systems Create testing strategies for models handling visual, audio, sensor, and textual data Validate data inputs, model outputs, performance benchmarks, and edge-case behavior Build tools for continuous integration and regression testing across ML components Work with ML engineers to define evaluation metrics and acceptable thresholds Help ensure models are safe, stable, and robust before deployment Identify gaps in test coverage and build test plans that scale with the codebase What We’re Looking For 3+ years in software QA, test automation, or related role Hands-on experience testing ML models or AI systems in production environments Strong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAX Familiarity with ML lifecycle and model validation techniques Experience with CI / CD pipelines, test frameworks, and debugging tools Detail-oriented mindset with strong instincts for edge cases and failure modes Bonus : background in data validation, simulation environments, or robotics Why Join Us Remote first company Competitive salary and equity Flexible hours and remote-friendly culture Full health, dental, and vision insurance High-end GPU hardware and compute resources Work on real-world AI systems with a high-caliber team Fast-moving environment where your work directly impacts production If you care about building AI that actually works, works well, and works safely — we’d love to talk. Apply tot his job