Senior Software Engineer, ML Ops & Infrastructure
¿Es esta oferta para usted?
Crear mi CV Cree su CV y descubra su porcentaje de coincidencia con este puesto — y con todos los demás.
Sigue tus candidaturas desde el móvil La app gratuita de Whileresume, en iPhone y Android.
El puesto
Design and implement scalable ML infrastructure to train and deploy deep learning models on a real-time robotic stack.
Optimize data loading and training throughput across 1000+ GPU jobs and build distributed data pipelines for robotics data.
Develop APIs and tooling to enable researchers to apply machine learning techniques, with opportunities to contribute to open-source models.
Orchestrate compute resources (GPUs/TPUs) and workflows on GKE to reduce cost and latency in model development, across cloud and on-prem environments.
Build tools for model understanding, evaluation, reliability, and traceability across the ML lifecycle.
Collaborate across cross-functional teams to translate research into production-grade ML-powered robotics capabilities.
Optimize data loading and training throughput across 1000+ GPU jobs and build distributed data pipelines for robotics data.
Develop APIs and tooling to enable researchers to apply machine learning techniques, with opportunities to contribute to open-source models.
Orchestrate compute resources (GPUs/TPUs) and workflows on GKE to reduce cost and latency in model development, across cloud and on-prem environments.
Build tools for model understanding, evaluation, reliability, and traceability across the ML lifecycle.
Collaborate across cross-functional teams to translate research into production-grade ML-powered robotics capabilities.
Ver la oferta completa
Funciones, perfil, competencias y ventajas — crea tu cuenta gratis.
o
¿Ya tiene una cuenta?
Iniciar sesiónEstas ofertas podrían interesarte
Ninguna oferta realmente parecida por ahora — estas son las más recientes.