Senior ML Engineer - Lab Automation
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The role
Design, develop, and validate the software architecture for high-level experimental orchestration across diverse robotic lab devices.
Build robust services and APIs to deploy trained ML models with minimal latency for real-time inference and autonomous lab control.
Collaborate with scientists and engineers to define data requirements and ensure collection of multimodal data and metadata for ML readiness.
Partner with ML scientists, product managers, and domain experts to translate user needs into scalable model integration and control architectures.
Advance MLOps pipelines and infrastructure, coordinating with central teams to scale resources and ensure reliable operation.
Contribute to architectural decisions, code reviews, and development processes to maintain scalable, maintainable systems across global lab automation.
Build robust services and APIs to deploy trained ML models with minimal latency for real-time inference and autonomous lab control.
Collaborate with scientists and engineers to define data requirements and ensure collection of multimodal data and metadata for ML readiness.
Partner with ML scientists, product managers, and domain experts to translate user needs into scalable model integration and control architectures.
Advance MLOps pipelines and infrastructure, coordinating with central teams to scale resources and ensure reliable operation.
Contribute to architectural decisions, code reviews, and development processes to maintain scalable, maintainable systems across global lab automation.
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