Member of Technical Staff; ML Infrastructure

We’re partnering with a cutting-edge AI startup building next-generation infrastructure to power large-scale, intelligent systems. Their mission is to bridge the gap between world-class AI research and production-grade deployment
-enabling faster experimentation, high-performance inference, and reliable large-scale training.

As a Member of Technical Staff (ML Infrastructure), you’ll design and scale the systems that keep state-of-the‑art AI running
-from distributed training clusters and inference engines to agentic frameworks and post‑training pipelines. You’ll work alongside a small, elite team of researchers and engineers who move fast, think big, and take full ownership of their work.

• Design, build, and optimize high-performance ML infrastructure for large-scale training, inference, and evaluation.

• Develop and maintain distributed systems that power large compute clusters and AI networking.

• Streamline research workflows and accelerate experimentation by improving data pipelines (data collection, loading, SFT, RL).

• Enhance inference performance across both open‑source and proprietary inference engines.

• Establish strong engineering practices for observability, reliability, and scalability.

• Collaborate with researchers and product teams to translate cutting‑edge ideas into robust, production‑ready systems.

• Deep expertise in one or more of the following: inference optimization, GPU performance, cluster scheduling, or large‑scale infrastructure.

• Strong experience with modern ML frameworks (e.g., PyTorch, vLLM, Verl).

• Startup‑ready mindset
  -high ownership, adaptability, and comfort working in fast‑moving environments.

• Passion for bridging research and real‑world impact.

• High impact: You’ll ship meaningful work in weeks, not months.

• Elite team: Work alongside ex‑founders, top AI researchers, and engineers from leading tech companies.

• Momentum: Well‑funded, fast‑growing, and laser‑focused on building and shipping real products powered by cutting‑edge AI.