ML Ops Engineer (Boston, MA)

Requirements:Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWSDefine, instrument, and maintain logging, monitoring, and alerting for model performance and data driftAutomate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalentCollaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineersWrite clean, well-documented, fast, and maintainable codeHelp ensure our systems have high availability and performanceExperience in computer graphics or physics-based simulationBackground in setting up Prometheus/Grafana, ELK, or similar monitoring stacksExperience with Vertex AIExperience working with custom Domain-Specific LanguagesAbout Us: We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.What we're looking forBS in Computer Science or a related field5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalentExpert-level Python and TypeScripts skillsExperience with Docker, Kubernetes, Terraform, Google Cloud and AWSDeep understanding of machine learning models, including LLMsExperience designing and maintaining CI/CD pipelines to fine-tune or train ML modelsExcellent written and verbal communication skillsBonus PointsExperience in computer graphics or physics-based simulationBackground in setting up Prometheus/Grafana, ELK, or similar monitoring stacksExperience with Vertex AIExperience working with custom Domain-Specific LanguagesOur tech stackGoogle Cloud, AWSPython, TypeScriptProtobuf, gRPCNext.JS, React.JSGitHub ActionsDocker, Kubernetes, SpinnakerPostgreSQLWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.