Senior Machine Learning EngineerActive

The opportunity

You’ll help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams,…

What you'll do

  • Develop, optimize, and productionize machine learning models for Cloudflare’s: serverless inference platform, with a focus on performance, reliability, and model quality.

  • Build benchmarking and evaluation frameworks to measure latency, throughput,: cost efficiency, and model behavior across LLMs, speech, vision, and other model families.

  • Improve inference performance through quantization, batching, caching, model: compilation, runtime tuning, and accelerator-aware optimization.

  • Partner with systems engineers to integrate models into Cloudflare’s: distributed inference infrastructure across a heterogeneous fleet of GPUs and next-generation accelerators.

  • Drive improvements to model deployment workflows, including validation,: rollout safety, observability, regression testing, and operational readiness.

  • Collaborate with product and engineering teams to translate customer: requirements into scalable ML capabilities for Workers AI.

What they're looking for

  • Mentor engineers, contribute to technical direction, and raise the quality: bar for production ML engineering practices across the team.