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 integral inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. Your career at Twilio is in your hands. 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 Machine Learning Engineer. This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features
- from model pipelines to production inference
- that directly shape how businesses understand their customers. Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. Implement and maintain end-to-end AI/ML pipelines
- from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs Participate in on-call rotations,



executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback 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 haven't followed a traditional path, don't let that stop you from considering Twilio. Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience ~2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy. ~ Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure) ~ Proficiency in Python (preferred) or similar OO language. ~ Experience utilizing Large (or Small) Language Models within software systems. ~ Hands-on experience with conversational AI,



or LLM fine-tuning and prompt engineering in a production context ~ Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring. This role will be remote from Ireland. 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. Twilio thinks big. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio. Twilio is proud to be an equal opportunity employer. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. Twilio invites you to self-identify certain personal demographic information to help continue our mission to foster inclusivity in our workplace. Completing this survey is voluntary, but we do hope that you will participate because your responses help us measure the effectiveness of our outreach and recruitment activities. This data is collected, stored and otherwise processed in accordance with legal requirements. We hope you will join us in our commitment and enthusiasm for making Twilio a place where everyone belongs

📌 Machine Learning Engineer (Ceuta)
🏢 Twilio
📍 Ceuta