Member of Technical Staff - Mid-Training Infra

Posted

Reflection AISan Francisco, CAfull-timestaff

Tech Stack

Responsibilities

  • Design, build, and operate large-scale GPU infrastructure for high-throughput model inference and mid-training workloads.
  • Develop systems that power synthetic data generation and reinforcement learning pipelines at scale.
  • Build high-performance inference platforms capable of serving and evaluating models across thousands of GPUs.
  • Optimize throughput, latency, and GPU utilization for large language model inference and rollout workloads.
  • Diagnose and resolve performance bottlenecks across inference runtimes, GPU kernels, networking, and distributed compute systems.

Benefits

  • Equity
  • Gym Membership
  • Health Insurance
  • Parental Leave

Culture

Mission-DrivenTalent-Dense TeamImpact-OrientedWork-Life Balance

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About Reflection AI
Industry: saas
Size: startup

Reflection AI is an AI research lab focused on building open foundational models to make intelligence open and accessible to all.

View company profile →
Compensation
Equity: Equity structured to recognize and retain the best talent globally.