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Salary: USD 160,320 - 200,400 / annual
Twilio is seeking a Staff Machine Learning Engineer to join the AI/ML Platform team. This is a 0-to-1 role focused on building foundational AI/ML capabilities and platform tooling that power intelligent engagement experiences across the company.
You will influence the design and evolution of Twilio's company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evaluations to maintain high quality. The role requires bridging theoretical research, production-grade experimentation, and scalable, enterprise-quality software.
Key responsibilities include:
- Conducting deep-dive research into and implementing state-of-the-art LLM inference and orchestration
- Identifying opportunities to leverage small language models via fine-tuning and distillation
- Building ML systems that scale to Twilio's production requirements
- Setting standards and tooling for building evaluations across AI/ML capabilities
- Rapidly acquiring new technical skills in a fast-paced, high-delivery environment
- Proactively leveraging and integrating the latest AI development stacks to focus on core differentiation
The role is remote-based in Ontario, British Columbia, or Alberta, Canada. Occasional travel may be required for team meetings and customer engagement.
REQUIREMENTS:
Required:
- 8+ years of applied ML/AI experience with a track record of owning technically ambitious systems end-to-end
- Comfort operating in 0-to-1 settings with ambiguous requirements and strong bias for action
- Proficiency in Python programming
- Experience building cloud-based services on AWS, GCP, or Azure with high-volume data, streaming or real-time inference paths, and diverse data stores
- Strong fundamentals in statistical machine learning algorithms, transformer models, and LLMs
- Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale
- Strong communication skills and effective collaboration with teammates
- Familiarity with AI-assisted development tools (Claude, Codex, GitHub Copilot, Cursor, etc.)
Desired:
- Prior experience building evaluations for autonomous agents and large language models
- Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency
- Prior experience working in globally distributed teams
- Evidence of technical leadership/impact through open-source contributions, technical presentations, blog posts, papers, or research
About Twilio
SaaS / Enterprise Software — authentication and identity infrastructure for developers.
