Staff Machine Learning Engineer
Job description
Staff Machine Learning Engineer on Twilio's AI/ML Platform team, building foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. The role focuses on LLM inference and orchestration, evaluation standards, and ML/AI Ops foundations at company scale.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Canada
- Pay
- USD 160,320 – 200,400 / year
What you'll do
- Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration
- Identify opportunities to leverage small language via fine-tuning/distillation
- Build ML systems that hold up at Twilio scale
- Set standards and tooling for building evals across a range of AI/ML capabilities
- Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment
- Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation
What we're looking for
- 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design
- Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action
- Proficiency in Python programming language
- Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores
- Strong fundamentals of statistical machine learning algorithms, transformer models, 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 highly effective collaborator who works well with teammates
- Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.)
Nice to have
- Prior experience building evals 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 a globally distributed team
- Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research
Your team
AI/ML Platform team
Builds the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio.
Benefits
Incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off (eligibility varies by role)
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- A retirement savings program
- Target Bonus Percentage 12.5%
Apply
Direct apply at Twilio
Opens the job posting at Twilio
About Twilio
Shaping the future of communications
Twilio delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide to craft personalized customer experiences. It is a remote-first company with a strong culture of connection and global inclusion.
Key facts
- Communications technology
- Remote-first company
- May ask employees to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings
- Uses AI to help make its hiring process efficient; every hiring decision is made by real Twilions
- Values called Twilio Magic
- Supports employee volunteering and donation efforts
What they value
- Twilio Magic