Software Engineer, ML Data Infrastructure
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El puesto
You will design and operate petabyte-scale data infrastructure powering foundation models for multi-modal AI training.
Collaborate with research scientists to translate data requirements into production-grade systems that accelerate model development.
Build robust data pipelines and optimize throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions.
Own end-to-end initiatives from scoping to deployment, balancing reliability, performance, and scalability.
Drive data quality, monitoring, and optimization through principled thinking and proactive improvements.
Qualifications include 2-5 years shipping large-scale distributed systems, strong fundamentals in data structures, algorithms, and databases, plus experience with Python, Kubernetes, and GCP tools.
Collaborate with research scientists to translate data requirements into production-grade systems that accelerate model development.
Build robust data pipelines and optimize throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions.
Own end-to-end initiatives from scoping to deployment, balancing reliability, performance, and scalability.
Drive data quality, monitoring, and optimization through principled thinking and proactive improvements.
Qualifications include 2-5 years shipping large-scale distributed systems, strong fundamentals in data structures, algorithms, and databases, plus experience with Python, Kubernetes, and GCP tools.
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