The opportunity
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.
What you'll do
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
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related: quantitative field, or equivalent practical experience
What they're looking for
- + 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.
