Machine Learning Engineer

Twilio is hiring a Machine Learning Engineer on the Conversation Intelligence team to build AI-powered features that derive meaning from voice and messaging data at scale.

Responsibilities

• Design and develop machine learning solutions with focus on accuracy, performance, security, and scalability
• Build and maintain end-to-end AI/ML pipelines, covering data ingestion, feature engineering, model development, validation, and deployment, with guidance from senior engineers on complex architectural decisions
• Instrument AI/ML services using metrics, logging, and telemetry to track model performance and operational health against defined SLOs
• Participate in on-call rotations, supporting progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
• Collaborate through planning, design, and code review to contribute to product and technical discussions, and improve overall code quality through review feedback

Requirements

• 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
• Demonstrated proficiency in Python and at least one ML framework: PyTorch, TensorFlow, or JAX
• 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 infrastructure on AWS, GCP, or Azure
• Proficiency in Python (preferred) or another similar object-oriented language
• Experience using Large (or Small) Language Models within software systems
• Excellent written and verbal communication skills, with the ability to explain complex technical topics to technical and non-technical audiences

Technologies

• Python
• PyTorch
• TensorFlow
• JAX
• Hugging Face Transformers
• NLTK
• SpaCy
• AWS
• GCP
• Azure

Desired

• Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context
• Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
• Familiarity with MLOps/LLMOps tooling for maintaining models in production, including testing, versioning, model registry, retraining, and monitoring

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program

Location

• Remote from Ireland

Travel

• Occasional travel may be required for project or team in-person meetings

Recruitment Fraud Notice

• Twilio will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process
• Job offers are not made without a formal interview process
• Interviews will not be conducted exclusively through text-based messaging apps
• Please use an official @twilio.com email address when engaging with recruiters