AI Researcher, Core ML (Turbo)

📋 Description Build and operate high-performance inference and RL/post-training engines. Design algorithms, architectures, and scheduling for low latency, high throughput. Prototype and maintain inference stacks (SGLang, vLLM, ATLAS-style). Profile and optimize GPU, networking, and memory for latency and cost. Unify inference with RL/post-training pipelines to improve efficiency. Own production systems and drive roadmap across kernel, memory, and APIs. 🎯 Requirements 3+ years of experience in ML systems, large-scale training, or inference. Advanced degree or equivalent practical experience. Strong Python coding and ability to implement production-grade changes. Track record of end-to-end technical projects (papers, open source, or production). Ability to read RL/post-training papers and translate insights into code. Experience with large-scale inference systems or RL/post-training methods. 🎁 Benefits Startup equity Health insurance Other competitive benefits