Machine Learning Engineer
Twilio
about 1 month ago
Remote, United States
Mid Level / Senior
H1B Sponsor
Base Salary
$139k - $173k/yr
Responsibilities
- Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads.
- Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling.
- Integrate event streams from Twilio products into unified, analytics-ready datasets.
- Monitor, test, and improve data quality, model performance, latency, and cost.
- Partner with product, data science, and security teams to ship resilient, compliant services.
- Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices.
- Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions.
- Embrace Twilio’s 'We are Builders' values by taking ownership of problems and driving them to completion.
Requirements
- B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or related field—or equivalent practical experience.
- 3–5 years building and operating data or ML systems in production.
- Proficient in Python and SQL; comfortable with software engineering fundamentals.
- Hands-on experience with ETL/ELT orchestration tools and cloud data warehouses.
- Familiarity with ML lifecycle tooling such as MLflow, SageMaker, or Vertex AI.
- Working knowledge of Docker and Kubernetes and at least one major cloud platform.
- Understanding of data modeling, distributed computing concepts, and streaming frameworks.
- Strong analytical thinking, communication skills, and a demonstrated sense of ownership.
Benefits
- Competitive pay and generous time off.
- Ample parental and wellness leave.
- Healthcare and a retirement savings program.
- Opportunities for professional growth and development.
Tech Stack
Amazon RedshiftApache AirflowApache FlinkApache KafkaApache SparkAWSAzureDockerGoogle BigQueryGoogle Cloud PlatformKubernetesMLflowPythonSnowflakeSQLTerraform
Categories
AI & MLData EngineeringData Science