Machine Learning Engineer (AI)

Location: Remote from Ireland; occasional travel may be required for project or team meetings.

Company

Twilio provides communications solutions that help businesses and developers create personalized customer experiences.

What you will do

• Design and develop machine learning solutions with strong accuracy, performance, security, and scalability.
• Build and maintain end-to-end AI/ML pipelines covering data ingestion, feature engineering, model development, validation, and deployment.
• Instrument AI/ML services with metrics, logging, and telemetry to monitor model performance and operational health.
• Participate in on-call rotations, progressive rollouts, and production incident mitigation for inference services.
• Contribute to planning, design, code reviews, and technical discussions while improving code quality.

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.
• Proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, or JAX.
• Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or spaCy, and experience using large or small language models in software systems.
• Experience developing, testing, and deploying ML services, including model versioning, experiment tracking, and cloud infrastructure on AWS, GCP, or Azure.
• Strong written and verbal communication skills for explaining complex technical concepts to technical and non-technical audiences.

Nice to have

• Production experience with conversational AI, LLM fine-tuning, or prompt engineering.
• Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.
• Familiarity with MLOps or LLMOps practices including testing, model registries, retraining, versioning, and monitoring.

Culture & Benefits

• Remote-first work with occasional in-person team, project, or customer meetings.
• Competitive pay and generous time off.
• Parental and wellness leave, healthcare, and a retirement savings program.
• Opportunities to contribute to community initiatives through volunteering and donation support.

Hiring process

• The hiring process includes interviews and may use AI-assisted tools for efficiency.
• Final hiring decisions are made by Twilio employees.