Staff Machine Learning Engineer (AI/ML)

Location: Remote, based in Ontario, British Columbia or Alberta, Canada; occasional travel for project or team meetings may be required.

Estimated pay: $160,320–$200,400 annually; target bonus: 12.5%.

Company

Twilio provides communications solutions that help businesses and developers create personalized customer experiences.

What you will do

• Build foundational AI/ML capabilities and common platform tooling for intelligent engagement experiences.
• Influence the design and evolution of the company-wide ML/AI Ops foundation.
• Research and implement state-of-the-art LLM inference and orchestration.
• Develop ML systems for high-volume production workloads at Twilio scale.
• Set standards and tooling for rigorous evaluations across AI/ML capabilities.
• Improve LLM workload management and integrate modern AI development stacks.

Requirements

• 8+ years of applied ML/AI experience and a track record of owning technically ambitious systems end to end.
• Experience operating in 0-to-1 environments with ambiguous requirements and a strong bias for action.
• Proficiency in Python.
• Experience building cloud-based services on AWS, GCP, or Azure with high-volume data, streaming or real-time inference paths, and varied data stores.
• Strong fundamentals in statistical machine learning algorithms, transformer models, and LLMs.
• Extensive experience with ML Ops and LLM Ops patterns, including rigorous evaluation metrics for non-deterministic AI features at scale.
• Strong communication skills and effective collaboration with teammates.
• Familiarity with AI-assisted development tools such as Claude, Codex, GitHub Copilot, or Cursor.

Nice to have

• Experience building evaluations for autonomous agents and large language models.
• Experience building autonomous agents that handle multi-turn conversations and maintain long-term context and consistency.
• Experience working in a globally distributed team.
• Evidence of technical leadership or impact through open-source data/ML projects, technical presentations, blog posts, papers, or research.

Culture & Benefits

• Remote-first work with occasional in-person team gatherings, functional off-sites, customer meetings, or project meetings.
• Competitive pay, generous time off, parental and wellness leave, healthcare, and a retirement savings program.
• Potential eligibility for incentive programs, equity grants, health and wellness benefits, retirement contributions, and paid time off, depending on the role and location.
• Support for volunteering and donation efforts.

Hiring process

• Hiring decisions are made by Twilio employees, with AI used to help make the process more efficient.
• The role requires a formal interview process; interviews are not conducted exclusively through text-based messaging applications.