Staff AI/ML Infra Engineer — Scalable Systems & Pipelines

Google LLC

New York (NY)

Vor Ort

USD 207.000 - 300.000

Vollzeit

vor 23 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Google LLC's GenAI Data and Evaluation Platform team is seeking software engineers to design and implement high-throughput serving infrastructure for model evaluation. You will help build scalable data systems to process massive datasets and optimize latency for large-scale inference pipelines.

You will collaborate with research groups to define infrastructure needs for next-generation AI models and help establish roadmaps for data-serving platforms within DeepMind's evaluation ecosystem.

Qualifikationen

  • Experience designing, building, and operating large-scale distributed systems.
  • Experience in Machine Learning or AI infrastructure.
  • Experience in software performance analysis and improvement; High-Performance architectures.

Aufgaben

  • Lead the architectural design of high-throughput serving infrastructure for evaluation workflows.
  • Design scalable systems to store, process, and serve massive datasets for model evaluation.
  • Optimize latency and resource efficiency of large-scale inference and evaluation pipelines.
  • Collaborate with research teams to define infrastructure requirements for next-generation AI models.
  • Establish technical roadmaps for data serving platforms supporting DeepMind's evaluation ecosystem.

Kenntnisse

Distributed systems
ML infrastructure
Performance optimization
Software architecture
Site reliability engineering
Developer tools

Ausbildung

Master’s or PhD in Engineering/CS

Tools

VMs
Sandboxed environments

Jobbeschreibung

Google LLC's GenAI Data and Evaluation Platform team is seeking software engineers to design and implement high-throughput serving infrastructure for model evaluation. You will help build scalable data systems to process massive datasets and optimize latency for large-scale inference pipelines.

You will collaborate with research groups to define infrastructure needs for next-generation AI models and help establish roadmaps for data-serving platforms within DeepMind's evaluation ecosystem.

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