Machine Learning Engineer, L3

• Build foundational AI/ML capabilities powering intelligent engagement experiences for Twilio customers
• Build new functionality within a rapidly adopted product
• Turn ambiguous ideas into rigorous experiments and execute them within weeks
• Conduct 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

• 5+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end
• 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
• Experience with high-volume data, streaming or real-time inference paths, and a range of data stores
• Deep expertise in production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores
• Strong fundamentals of statistical machine learning algorithms, transformer models, and LLMs
• Ability to raise the technical bar through mentorship, design review, and standards without formal management authority
• Strong communication skills and effective collaboration
• Prior experience building autonomous agents handling multi-turn conversations and long-term context/consistency is desired
• Strong background in predictive modeling on user behavior, experiment design, and causal or counterfactual methods is desired
• Prior experience working in a globally distributed team is desired

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• Remote-first work
• Support for employee volunteering and donation efforts