Twilio
5001 - 10000 employees
🔌 API
🤝 B2B
API • B2B
Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.
Machine Learning Engineer
🕒 June 18
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Twilio
5001 - 10000 employees
🔌 API
🤝 B2B
API • B2B
Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.
📋 Description
• 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
🎯 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, 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. • Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
🏖️ Benefits
• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare • Retirement savings program
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