Senior Machine Learning Engineer (AI)

Location: Hybrid; available location is Austin, Texas, United States

Company

hirify.global operates a large global network that protects and accelerates Internet applications and provides infrastructure for customers ranging from individual websites to Fortune 500 companies.

What you will do

• Develop, optimize, and productionize machine learning models for the serverless inference platform and Workers AI.
• Build benchmarking and evaluation frameworks for latency, throughput, cost efficiency, and model behavior across language, speech, vision, and other model families.
• Improve inference through quantization, batching, caching, model compilation, runtime tuning, and accelerator-aware optimization.
• Integrate models into distributed inference infrastructure across heterogeneous GPUs and next-generation accelerators.
• Improve deployment workflows through validation, safe rollouts, observability, regression testing, and operational readiness.
• Mentor engineers, contribute to technical direction, and collaborate with systems, product, hardware, and AI/ML teams.

Requirements

• Experience building, optimizing, and operating machine learning models in production.
• Strong proficiency with Python and modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Hands-on experience with inference optimization for large-scale models, including quantization, batching, caching, compilation, and serving runtime tuning.
• Experience with inference serving frameworks or runtimes such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, or llama.cpp.
• Understanding of production ML concerns, including evaluation, monitoring, regressions, rollout safety, and reliability.
• Experience working across ML and systems boundaries, with familiarity with distributed systems, networking, or serverless platforms.

Nice to have

• Experience contributing to open-source ML tooling, model serving frameworks, or inference runtimes.

Culture & Benefits

• Work is organized in a hybrid format.
• Applicants reaching the offer stage may be asked to attend an in-person interview at a hirify.global office or hub.
• The role may involve access to information controlled under U.S. export control laws; employment may depend on authorization to receive the technology without export-license sponsorship.
• hirify.global supports initiatives protecting journalism, civil society, election information, and the open Internet.

Hiring process

• Applicants progressing to the offer stage may be required to attend an in-person interview at a hirify.global office or hub.