Hiring: Member of Technical Staff - Mid-Training Infra Company: Reflection Location: New York, NY Job Posted Time: 2026-09-13 12:18:07 Target Skills & Keywords : Data Pipeline, LLM, Large Language Model, Reinforcement Learning About the job Experience: •Several years of hands-on experience building and running production infrastructure. •In-depth knowledge of GPU performance characteristics and optimization techniques. •Operational familiarity with distributed reinforcement learning infrastructure or rollout generation systems. •Operational familiarity with infrastructure used for synthetic data pipelines or RL training workflows. Required Skills: •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. •Build infrastructure that supports reinforcement learning pipelines, including large-scale rollout generation, evaluation, and policy improvement loops. •Work closely with research teams to support distributed RL workloads and large-scale model evaluation infrastructure. •Improve performance of model execution through kernel-level optimization, model parallelism strategies, and GPU runtime improvements. •Develop distributed systems that enable large-scale synthetic data generation and RL-driven training workflows. Compensation: •Top-tier compensation: Salary and equity structured to recognize and retain our talent globally Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!