Description
At Twilio, we're shaping the future of communications. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
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 that directly shape how businesses understand their customers.
Responsibilities:
- 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.
- Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health.
- Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies.
- Collaborate across planning, design, and code review phases contributing to product and technical discussions.
Qualifications:
- 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.
- Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment.
- Proficiency in Python or similar OO language.
- Excellent written and verbal communication skills.
Desired:
- Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context.
- Exposure to agentic AI frameworks.
- Familiarity with MLOps/LLMOps tooling.
Location: This role will be remote from Ireland.
What We Offer: 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.