Principal Machine Learning & Data Engineer

Join Twilio as a Principal Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML-and-data platform that powers every customer interaction.

Responsibilities:

• Architect and evolve Twilio's end-to-end ML and real-time data platforms for reliability, security, and cost efficiency.
• Design scalable feature stores, streaming and batch pipelines, and low-latency model-serving layers on AWS.
• Implement MLOps best practices,automated testing, CI/CD, monitoring, and rollback,for hundreds of daily deployments.
• Own system design reviews, threat modeling, and performance tuning for high-volume communications workloads.
• Lead cross-functional engineering efforts, breaking down complex initiatives into executable roadmaps.
• Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming.
• Partner with Product, Security, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR).
• Champion a culture of experimentation, data-driven decision-making, and continuous improvement.

Qualifications:

• 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 (Java, Scala, Go, or C++).
• Hands-on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms (Kafka/Kinesis).
• Demonstrated success designing cloud-native architectures on AWS, including Terraform-managed infrastructure.
• Deep knowledge of container orchestration (Kubernetes/EKS), service-mesh networking, and autoscaling strategies.
• Practical experience implementing MLOps tooling such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Strong grasp of model-lifecycle concerns,feature engineering, offline/online parity, A/B testing, drift detection, and retraining.
• Proven ability to lead technical projects end-to-end and influence without authority across multiple teams.
• Exceptional written and verbal communication skills, with a bias toward clarity and action.

Location: This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Compensation: The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $184,500 - $230,700.
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $195,300 - $244,200.
• Based in the San Francisco Bay area, California: $217,000 - $271,300.