Principal Machine Learning Engineer, L5

• Build foundational AI/ML capabilities powering intelligent engagement experiences for Twilio customers
• Build new functionality within a fast-moving, rapidly adopted product
• Turn nebulous ideas into rigorous experiments and execute them within weeks
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization
• Build ML systems operating at Twilio scale
• Rapidly acquire technical skills and knowledge in a fast-paced, high-delivery environment
• Leverage and integrate the latest AI development stacks to focus on core differentiation
• Lead rapid research cycles addressing contextual intelligence and large-scale ML problems

• 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

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• Volunteering and donation support