Build Twilio’s AI/ML foundation remotely from Canada, applying Python and LLM expertise to scalable, enterprise-quality machine learning systems.
As a Staff Machine Learning Engineer on Twilio’s AI/ML Platform team, you will shape foundational capabilities powering intelligent engagement experiences. The work spans LLM inference, orchestration, ML systems, and rigorous evaluation tooling. You will bridge research, experimentation, and production software while improving company-wide AI/ML Ops.
Key Responsibilities: Research and implement state-of-the-art LLM inference and orchestration
Build machine learning systems operating at Twilio scale
Set standards and tooling for AI/ML evaluations
Improve management of company-wide LLM workloads
Integrate current AI development stacks into engineering workflows
Requirements: 8+ years of applied machine learning or artificial intelligence experience
Proficiency in Python programming
Solid fundamentals in statistical machine learning, transformers, and LLMs
Experience with cloud services, high-volume data, and real-time inference
Extensive ML Ops and LLM Ops experience
Apply staff-level technical leadership to Python, LLM inference, evaluation, and scalable AI/ML platform engineering at Twilio.