Data Infrastructure Jobs
3 open roles mentioning Data Infrastructure
Product Manager, Gen AI
Scale AI
Scale AI is seeking Product Managers to join its GenAI organization, focusing on building the data infrastructure that powers advanced AI. These roles involve shaping systems, tooling, and experiences for a two-sided marketplace connecting AI labs and enterprises with a global network of contributors. You will work on high-impact, technically complex problems at the frontier of AI, owning product areas end-to-end from strategy to execution. The positions require deep cross-functional collaboration with engineering, design, data science, operations, and other stakeholders in a fast-paced, growth-stage environment.
Research Engineer, Data Infrastructure
Mistral AI
Mistral AI is seeking a Research Engineer focused on Data Infrastructure to build and operate the next generation of our data systems. This role involves designing and scaling massive compute fleets and storage systems for high performance and scalability. You will contribute to a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. The position requires full lifecycle ownership, from architecting migrations away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.
Research Engineer, Data Infrastructure
Mistral AI
Mistral AI is seeking a Research Engineer focused on Data Infrastructure to architect and build the backbone of our frontier model training and fine-tuning ecosystem. This role involves designing and scaling massive compute fleets and storage systems for high performance and scalability, with a vision towards exabyte-scale architecture. You will contribute to a strategic transition from legacy scheduling to modern orchestration, implementing sophisticated multi-cluster orchestration and cloud-bursting capabilities. The position requires full lifecycle ownership, from architecting migrations away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.