At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.

We use Artificial Intelligence (AI) to help make our hiring process efficient. Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.

This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development.

This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. 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 workplace. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. 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. ~ 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. ~ Familiarity with AI-assisted development tools (e.g., 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. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. This role will be remote and based in Ontario,



British Columbia or Alberta, Canada.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. ~$Target Bonus Percentage 12.5% Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. Stay alert to recruitment fraud Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. #

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