Staff Machine Learning Engineer
Core
Build foundational AI/ML capabilities and common platform tooling to power intelligent engagement experiences across Twilio.
Role type
Staff Machine Learning Engineer (AI/ML Platform)
Builds
Foundational AI/ML capabilities, common platform tooling, and ML/AI Ops foundation for the company.
Domain
Telecommunications, AI/ML, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Applied ML/AI, Python, Cloud services (AWS/GCP/Azure), Statistical machine learning, Transformer models, LLMs, ML Ops, LLM Ops, Evaluation metrics for non-deterministic AI
Preferred skills
Autonomous agents, Multi-turn conversation handling, Long-term context/consistency, Open-source contributions, Technical publications
Technologies
Python, AWS, GCP, Azure, LLMs, Transformer models
Responsibilities
Conduct deep-dive research into LLM inference and orchestration; Identify opportunities to leverage small language models via fine-tuning/distillation; Build ML systems at Twilio scale; Set standards and tooling for building evals across AI/ML capabilities; Rapidly acquire new technical skills; Proactively leverage latest AI development stacks.
Seniority
Staff, hands-on IC with technical leadership
