Staff Machine Learning Engineer (L4) at Twilio

This role is for an experienced machine learning engineer with at least five years of experience who can bridge the gap between traditional predictive modeling and modern generative AI. You will focus on building agentic tools and propensity models specifically to automate internal customer support and business workflows. **What makes it worth a look...** The major draw is the true remote-first flexibility and a high salary ceiling that reaches up to $276k in certain zones. You get to work with a modern stack including Groq, LangChain, and AWS SageMaker while receiving equity and a corporate bonus. **You might be a good fit if you...** * Have 5+ years of experience deploying NLP and supervised learning models to production. * Are comfortable integrating data from enterprise platforms like Salesforce and Zendesk. * Currently use frameworks like LlamaIndex or LangChain to build RAG-based applications. * Enjoy working with a heavy AWS stack and libraries like XGBoost and Keras.