Twilio

Machine Learning & Data Engineer - L2

Twilio

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $114,600 - $168,500 per year

Job Level

Junior

Tech Stack

AirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformJavaKubernetesLinuxPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • Build and optimize batch and streaming data pipelines processing billions of interaction events per day.\n
  • Implement reusable model-training and evaluation workflows on Twilio’s internal ML platform.\n
  • Deploy, monitor, and troubleshoot low-latency inference services in Kubernetes and serverless environments.\n
  • Automate data-quality checks, feature logging, and lineage tracking to guarantee trustworthy datasets.\n
  • Collaborate with product, data-science, and DevOps partners to translate business goals into technical roadmaps.\n
  • Contribute to design reviews, code reviews, and documentation to elevate engineering standards.\n
  • Instrument systems with metrics, alerts, and dashboards that uphold reliability objectives.\n
  • Participate in on-call rotations and continually improve CI/CD pipelines.

Requirements

  • 1–3 years of professional experience in software, data, or ML infrastructure engineering.\n
  • Proficiency in Python or Java and in SQL for data manipulation and analysis.\n
  • Hands-on experience building ETL/ELT pipelines with tools such as Apache Spark, Flink, or Airflow.\n
  • Familiarity with training and deploying ML models using scikit-learn, TensorFlow, or PyTorch.\n
  • Working knowledge of containerization (Docker) and at least one major cloud platform (AWS, GCP, or Azure).\n
  • Comfort with Linux, Git, and CI/CD workflows; ability to write clean, tested, maintainable code.\n
  • Clear verbal and written communication skills and a demonstrated sense of ownership.\n
  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.