Staff Machine Learning Engineer
Core
Build foundational AI/ML capabilities and common platform tooling to power intelligent engagement experiences across Twilio, ensuring high-quality offline and online evaluations for LLM workloads.
Role type
Staff Machine Learning Engineer (LLM Ops & Platform)
Builds
Scalable ML systems, LLM inference/orchestration pipelines, and evaluation tooling for enterprise AI.
Domain
Telecommunications / AI & Machine Learning
Deliverable
production ML models
Required skills
LLM inference and orchestration, fine-tuning/distillation, Python, cloud services (AWS/GCP/Azure), statistical ML algorithms, transformer models, ML Ops, LLM Ops, evaluation metrics design
Preferred skills
Autonomous agents, multi-turn conversation handling, global distributed team experience, open-source contributions, technical publications
Technologies
Python, AWS, GCP, Azure, LLM frameworks, AI development tools (Claude, Codex, Copilot, Cursor)
Responsibilities
Conduct deep-dive research into state-of-the-art LLM inference; Identify opportunities to leverage small language models via fine-tuning/distillation; Build ML systems that hold up at Twilio scale; Set standards and tooling for building evals across AI/ML capabilities; Rapidly acquire new technical skills in AI stacks
Seniority
Staff, hands-on IC with technical leadership
