Principal Machine Learning & Data Engineer

Twilio is seeking a Principal Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML-and-data platform. This role involves architecting cloud-native pipelines, model-serving infrastructure, and developer tooling to empower product teams and unlock the imagination of builders. The position focuses on reliability, security, and cost efficiency.

Requirements

• Bachelor’s or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience.
• 7+ years building and operating production data or machine-learning systems at scale.
• Expert fluency in Python and one compiled language.
• Hands-on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms.
• Demonstrated success designing cloud-native architectures on AWS.
• Deep knowledge of container orchestration (Kubernetes/EKS), service-mesh networking, and autoscaling strategies.
• Strong grasp of model-lifecycle concerns and MLOps tooling.
• Exceptional written and verbal communication skills.
• Geographic constraints for application.

Benefits

• competitive pay
• generous time off
• healthcare
• retirement savings program
• paid time off
• paid parental leave