Member of Technical Staff - Mid-Training Infra
Posted
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: ai
Size: startup
Reflection AI is building open superintelligence and making it accessible to all, developing open weight AI models for individuals, agents, enterprises, and nation states.
View company profile →Compensation
Equity: Equity structured to recognize and retain the best talent globally.