Principal, Machine Learning Engineer (L5)

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Who we are 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. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilio ns! 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 our next Principal Machine Learning Engineer in Twilio ’s Customer Memory Team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale. 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. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio . We are always looking for people who will bring something new to the table! *Required: 10+ 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. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial. Pr

我们是谁 在Twilio，我们正在塑造通信的未来，这一切都可以在舒适的家中完成。我们为数十万家企业提供创新解决方案，并赋能全球数百万开发者打造个性化的客户体验。我们对远程优先工作的坚持，以及强大的连接文化和全球包容性，意味着无论你身处何地，你都是一个充满活力的团队的一员，拥有多元经验，每天都在产生全球影响。随着我们继续革新世界的互动方式，我们正在获取新的技能和经验，让工作真正充满回报。你在Twilio的职业生涯掌握在你自己手中。 招聘及我们的工作方式 我们使用人工智能（AI）来帮助提高招聘流程的效率。话虽如此，每一项招聘决策都是由真正的Twilio人做出的！此外，虽然我们是一家远程优先的公司，但你可能被要求临时亲自到场参加团队聚会、职能异地会议或客户会议。 在Twilio看见你自己 加入我们的团队，担任Twilio Customer Memory团队的下一位Principal Machine Learning Engineer。 关于该职位 在这个角色中，你将构建 foundational AI/ML 能力，为Twilio客户提供智能互动体验——让任何应用、人类或AI代理，或渠道都能知道客户是谁、他们做过什么，以及如何最好地触达他们。这个角色需要一个建设者和充满好奇心的思维方式，能够弥合理论研究、生产级实验和企业级软件之间的差距。你将领导快速研究周期，解决有关上下文智能和大规模ML问题的复杂问题，确保每一次互动都感觉无缝且个性化。 职责 在这个角色中，你将： 在快速发展的产品中构建新功能，并见证其快速采用。 将一个模糊的想法设计成严谨的实验，并在数周内执行。 深入研究最先进的LLM编排、检索策略和数据驱动的个性化。 构建能够在Twilio规模下经受考验的ML系统。 在快节奏、高交付的环境中快速获取新的技术技能和知识。 主动利用并整合最新的AI开发栈，以绕过样板工程并专注于核心差异化。 资格要求 Twilio重视来自各行各业的多样的经验，我们鼓励所有符合所需资格的人申请。如果你的职业生涯刚刚开始，或者没有遵循传统路径，不要让这阻止你考虑Twilio。我们一直在寻找能为团队带来新东西的人！ *必需： 10年以上应用ML/AI经验，并有端到端拥有技术上有雄心的系统的记录，而不是为别人的设计做出贡献。 能够在0到1的环境中工作，面对模糊需求，并有强烈的行动偏向。 熟练使用Python编程语言。 具有在AWS、GCP或Azure上构建基于云的服务的经验，涉及高容量数据、流式或实时推理路径，以及多种数据存储。 在设计、架构和部署生产级ML/AI系统方面具有深厚专业知识，包括LLM编排、嵌入模型和向量存储。 具备统计机器学习算法、transformer模型、LLM的扎实基础。 能够通过指导、设计评审和标准提升团队的技术水平，而无需正式管理权限。 具有使用AWS、GCP或Azure构建基于云的服务的经验。 强大的沟通能力，以及高效的协作者，能与队友良好合作。 优先： 具有构建自主代理的先前经验，这些代理能够处理多轮对话并保持长期上下文/一致性。 在用户行为预测建模方面有强大背景，包括实验设计以及当随机化不完整时所需的因果或反事实方法。 Pr

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