Staff Ai Research Software Engineer
Entangled Future
Turn cutting-edge AI research into functional MVPs with model development, evaluation, and production deployment at SandboxAQ.As a founding engineer on the SAIGE team, this Staff Machine Learning Engineer bridges research and software engineering. You will rapidly test potential solutions using LQMs and emerging agentic frameworks. Collaboration with AI researchers, product managers, software engineers, and user experience researchers supports tangible outcomes across SandboxAQ.Key Responsibilities:
Prototype and evaluate potential model solutions rapidlyBuild and validate novel ML models and algorithmsClean, transform, and engineer complex datasetsStudy model failure modes and production performanceCollaborate on technical ML deployment roadmapsRequirements:
Bachelor's degree or equivalent relevant experienceEight or more years of postgraduate software development experienceFull ML lifecycle experience from exploration to deploymentPython expertise across the modern ML stackTechnical leadership across complex, cross-collaborative environmentsShape AI-first products through research translation, model experimentation, and autonomous technical execution with SandboxAQ’s SAIGE team.
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Prototype and evaluate potential model solutions rapidlyBuild and validate novel ML models and algorithmsClean, transform, and engineer complex datasetsStudy model failure modes and production performanceCollaborate on technical ML deployment roadmapsRequirements:
Bachelor's degree or equivalent relevant experienceEight or more years of postgraduate software development experienceFull ML lifecycle experience from exploration to deploymentPython expertise across the modern ML stackTechnical leadership across complex, cross-collaborative environmentsShape AI-first products through research translation, model experimentation, and autonomous technical execution with SandboxAQ’s SAIGE team.
#J-18808-Ljbffr
Vacancy posted more than 2 months ago
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